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1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
1996open this document and view contents Learning in the Presence of Inaccurate Information - Mark Fulk and Sanjay Jain
open this document and view contents Learning by Erasing - S. Lange, R. Wiehagen and T. Zeugmann
open this document and view contents Non mean square error criteria for the training of learning machines - Marco Saerens
open this document and view contents Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks - Peter C. Y. Chen, James K. Mills and Kenneth C. Smith
open this document and view contents Unions of identifiable families of languages - Kalvis Apsitis, Rusins Freivalds, Raimonds Simanovskis and Juris Smotrovs
open this document and view contents Introduction - Judy A. Franklin, Tom M. Mitchell and Sebastian Thrun
open this document and view contents Negative robust learning results for Horn clause programs - Pascal Jappy, Richard Nock and Olivier Gascuel
open this document and view contents VC dimension of an integrate-and-fire neuron model - Anthony M. Zador and Barak A. Pearlmutter
open this document and view contents Review of Inductive Logic Programming: Techniques and Applications by Nada Lavrac, Saso Dzeroski - Michael Pazzani
open this document and view contents How many queries are needed to learn? - Lisa Hellerstein, Krishnan Pillaipakkamnatt, Vijay Raghavan and Dawn Wilkins
open this document and view contents Searching for structure in multiple streams of data - Tim Oates and Paul R. Cohen
open this document and view contents Inductive logic programming beyond logical implication - Jianguo Lu and Jun Arima
open this document and view contents Towards robust model selection using estimation and approximation error bounds - Joel Ratsaby, Ronny Meir and Vitaly Maiorov
open this document and view contents Inductive inference from positive data: from heuristic to characterizing methods - Timo Knuutila
open this document and view contents Inclusion problems in parallel learning and games - Martin Kummer and Frank Stephan
open this document and view contents Technical Note: Some Properties of Splitting Criteria - Leo Breiman
open this document and view contents Worst-case quadratic loss bounds for on-line prediction of linear functions by gradient descent - N. Cesa-Bianchi, P. M. Long and M. K. Warmuth
open this document and view contents Learning a representation for optimizable formulas - Hans Kleine Büning and Theodor Lettmann
open this document and view contents Relational instance-based learning - Werner Emde and Dietrich Wettschereck
open this document and view contents Reinforcement learning in factories: the auton project (abstract) - Andrew W. Moore
open this document and view contents Real-World Robotics: Learning to Plan for Robust Execution - Scott W. Bennett and Gerald F. DeJong
open this document and view contents Background knowledge in GA-based concept learning - Jukka Hekanaho
open this document and view contents On-line Prediction and Conversion Strategies - Nicolo Cesa-Bianchi, Yoav Freund, David P. Helmbold and Manfred K. Warmuth
open this document and view contents Non-linear decision trees - NDT - Andreas Ittner and Michael Schlosser
open this document and view contents Probabilistic limit identification up to 'small' sets - Juris Vīksna
open this document and view contents Hinfinity Optimality of the LMS Algorithm - B. Hassibi, A. H. Sayed and T. Kailath
open this document and view contents Stacked Regressions - Leo Breiman
open this document and view contents Constructive induction using fragmentary knowledge - Steve Donoho and Larry Rendell
open this document and view contents Characteristic sets for polynominal grammatical inference - Colin De La Higuera
open this document and view contents Grammatical inference using tabu search - Jean-Yves Giordano
open this document and view contents The complexity of exactly learning algebraic concepts - V. Arvind and N. V. Vinodchandran
open this document and view contents Transformations that preserve learnability - Andris Ambainis and Rīsiņs Freivalds
open this document and view contents Learning conjunctions of two unate DNF formulas: computational and informational results - Aaron Feigelson and Lisa Hellerstein
open this document and view contents Actual return reinforcement learning versus temporal differences: some theoretical and experimental results - Mark D. Pendrith and Malcolm R. K. Ryan
open this document and view contents Representation changes for efficient learning in structural domains - Jean-Daniel Zucker and Jean-Gabriel Ganascia
open this document and view contents Incremental regular inference - Pierre Dupont
open this document and view contents Introduction - Leslie Pack Kaelbling
open this document and view contents Probabilistic and team PFIN-type learning: general properties - Andris Ambainis
open this document and view contents Worst-Case Loss Bounds for Single Neurons - David P. Helmbold, Jyrki Kivinen and Manfred K. Warmuth
open this document and view contents Identification of DFA: data-dependent vs data-independent algorithms - Colin De La Higuera, José Oncina and Enrique Vidal
open this document and view contents Inferring stochastic regular grammars with recurrent neural networks - Rafael C. Carrasco, Mikel L. Forcada and Laureano Santamar\'ıa
open this document and view contents Oracles and queries that are sufficient for exact learning - Nader H. Bshouty, Richard Cleve, Ricard Gavaldà, Sampath Kannan and Christino Tamon
open this document and view contents Clustering of sequences using minimum grammar compexity criterion - Ana L. N. Fred
open this document and view contents Discretizing continuous attributes while learning Bayesian neworks - Nir Friedman and Moises Goldszmidt
open this document and view contents The intrinsic complexity of language identification - Sanjay Jain and Arun Sharma
open this document and view contents Reinforcement Learning with Replacing Eligibility Traces - Satinder P Singh and Richard S. Sutton
open this document and view contents Game theory, on-line prediction and boosting - Yoav Freund and Robert E. Schapire
open this document and view contents MML estimation of the parameters of the spherical Fisher distribution - David L. Dowe, Jonathan J. Oliver and Chris S. Wallace
open this document and view contents Computational Limits on Team Identification of Languages - Sanjay Jain and Arun Sharma
open this document and view contents On the structure of the Degrees of Inferability - Martin Kummer and Frank Stephan
open this document and view contents BEXA: A Covering Algorithm for Learning Propositional Concept Descriptions - Hendrik Theron and Ian Cloete
open this document and view contents Active Learning for Vision-Based Robot Grasping - Marcos Salganicoff, Lyle H. Ungar and Ruzena Bajcsy
open this document and view contents Angluin's theorem for indexed families of r.e. sets and applications - Dick de Jongh and Makoto Kanazawa
open this document and view contents Analysis of greedy expert hiring and an application to memory-based learning - Igal Galperin
open this document and view contents CLASSIC Learning - Michael Frazier and Leonard Pitt
open this document and view contents On-line portfolio selection using multiplicative updates - David P. Helmbold, Robert E. Schapire, Yoram Singer and Manfred K. Warmuth
open this document and view contents Lexical categorization: fitting template grammars by incremental MDL optimization - Michael R. Brent and Timothy A. Cartwright
open this document and view contents A Bayesian/information theoretic model of bias learning - Jonathan Baxter
open this document and view contents PAC-like upper bounds for the sample complexity of leave-one-out cross-validation - Sean B. Holden
open this document and view contents representing and learning quality-improving search control knowledge - M. Alicia Pérez
open this document and view contents Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning - Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida and Koh Hosoda
open this document and view contents Exponentially many local minima for single neurons - Peter Auer, Mark Herbster and Manfred K. Warmuth
open this document and view contents Team Learning of Recursive Languages - Sanjay Jain and Arun Sharma
open this document and view contents Inductive Inference of Monogenic Pure Context-Free Languages - Noriyuki Tanida and Takashi Yokomori
open this document and view contents Robot Programming by Demonstration (RPD): Supporting the Induction by Human Interaction - H. Friedrich, S. Münch, R. Dillman, S. Bocionek and M. Sassin
open this document and view contents Learning from a consistently ignorant teacher - Michael Frazier, Sally Goldman, Nina Mishra and Leonard Pitt
open this document and view contents Experimental knowledge acquisition for planning - Kang Soo Tae and Diane J. Cook
open this document and view contents Second tier for decision trees - Miroslav Kubat
open this document and view contents Learning relational concepts with decision trees - Peter Geibel and Fritz Wysotzki
open this document and view contents The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length - Dana Ron, Yoram Singer and Naftali Tishby
open this document and view contents Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes - F. Casacuberta
open this document and view contents The importance of convexity in learning with squared loss - Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson
open this document and view contents Exact classification with two-layer neural nets - Gavin J. Gibson
open this document and view contents Using knowledge to improve N-gram language modelling through the MGGI methodology. - Enrique Vidal and David Llorens
open this document and view contents Learning in the Presence of Concept Drift and Hidden Contexts - Gerhard Widmer and Miroslav Kubat
open this document and view contents Challenges in machine learning for text classification - David D. Lewis
open this document and view contents The characterisation of predictive accuracy and decision combination - Kai Ming Ting
open this document and view contents Effects of feature selection with 'blurring' on neurofuzzy systems - Selwyn Piramuthu
open this document and view contents Applying the weak learning framework to understand and improve C4.5 - Tom Dietterich, Michael Kearns and Yishay Mansour
open this document and view contents Learning changing concepts by exploiting the structure of change - Peter L. Bartlett, Shai Ben-David and Sanjeev R. Kulkarni
open this document and view contents A framework for structural risk minimization - John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson and Martin Anthony
open this document and view contents Unsupervised learning using MML - Jonathan J. Oliver, Rohan A. Baxter and Chris S. Wallace
open this document and view contents The Effect of Representation and Knowledge on Goal-Directed Exploration with Reinforcement-Learning Algorithms - Sven Koenig and Reid G. Simmons
open this document and view contents Learning evaluation functions for large acyclic domains - Justin A. Boyan and Andrew W. Moore
open this document and view contents Learning despite concept variation by finding structure in attribute-based data - Eduardo Pérez and Larry A. Rendell
open this document and view contents Introducing statistical dependencies and structural constraints in variable-length sequence models - Sabine Deligne, François Yvon and Frédéric Bimbot
open this document and view contents Lower bound on learning decision lists and trees - Thomas Hancock, Tao Jiang, Ming Li and John Tromp
open this document and view contents Simplified support vector decision rules - Chris J. C. Burges
open this document and view contents Approximating value trees in structured dynamic programming - Craig Boutilier and Richard Dearden
open this document and view contents Co-Learning of Recursive Languages from Positive Data - R. Freivalds and T. Zeugmann
open this document and view contents Learning active classifiers - Russell Greiner, Adam J. Grove and Dan Roth
open this document and view contents The loss from imperfect value functions in expectation-based and minimax-based tasks - Matthias Heger
open this document and view contents Applying winnow to context-sensitive spelli ng correction - Andrew R. Golding and Dan Roth
open this document and view contents Learning of context-sensitive language acceptors through regular inference and constrained induction - René Alquézar, Alberto Sanfeliu and Jordi Cueva
open this document and view contents Toward a model of mind as a laissez-faire economy of idiots - Eric B. Baum
open this document and view contents Reflecting inductive inference machines and its improvement by therapy - Gunter Grieser
open this document and view contents On the learnability of the uncomputable - Richard H. Lathrop
open this document and view contents An efficient algorithm for optimal pruning of decision trees - Hussein Almuallim
open this document and view contents On the Limits of Proper Learnability of Subclasses of DNF Formulas - Pillaipakkamnatt Krishnan and Raghavan Vijay
open this document and view contents Program Synthesis in the Presence of Infinite Number of Inaccuracies - Sanjay Jain
open this document and view contents Exploration Bonuses and Dual Control - Peter Dayan and Terrence J. Sejnowski
open this document and view contents Noise-Tolerant Distribution-Free Learning of General Geometric Concepts - N. H. Bshouty, S. A. Goldman, H. D. Mathias, S. Suri and H. Tamaki
open this document and view contents On the Worst-Case Analysis of Temporal-Difference Learning Algorithms - Robert E. Schapire and Manfred K. Warmuth
open this document and view contents Average Reward Reinforcement Learning: Foundations, Algorithms, and Empirical Results - Sridhar Mahadevan
open this document and view contents Monotonic and dual monotonic language learning - S. Lange, T. Zeugmann and S. Kapur
open this document and view contents On Limited Nondeterminism and the Complexity of the V-C Dimension - Christos H. Papadimitriou and Mihalis Yannakakis
open this document and view contents Residual Q-learning applied to visual attention - Cesar Bandera, Francisco J. Vico, Jose M. Bravo, Mance E. Harmon and Leemon C. Baird III
open this document and view contents A probabilistic approach to feature selection - a filter solution - Huan Liu and Rudy Setiono
open this document and view contents Speeding-up nearest neighbour memories: the template tree case memory organisation - Stephan Grolimund and Jean-Gabriel Ganascia
open this document and view contents Representation of finite state automata in recurrent radial basis function networks - Paolo Frasconi, Marco Gori, Marco Maggini and Giovanni Soda
open this document and view contents Improved bounds about on-line learning of smooth functions of a single variable - Philip M. Long
open this document and view contents A competitive approach to game learning - Christopher D. Rosin and Richard K. Belew
open this document and view contents Induction of constraint logic programs - Lionel Martin and Christel Vrain
open this document and view contents Probabilistic instance-based learning - Henry Tirri, Petri Kontkanen and Petri Myllymäki
open this document and view contents Learning Bayesian belief networks based on the minimum description length principle: an efficient algorithm using the B \& B technique - Joe Suzuki
open this document and view contents Set-driven and rearrangement-independent learning of recursive languages - S. Lange and T. Zeugmann
open this document and view contents Experiments with a new Boosting algorithm - Yoav Freund and Robert E. Schapire
open this document and view contents Analysis of a simple learning algorithm: learning foraging thresholds for lizards - Leslie Ann Goldberg, William E. Hart and David Bruce Wilson
open this document and view contents General Inductive Inference Types Based on Linearly-Ordered Sets - Andris Ambainis, Rīsiņs Freivalds and Carl H. Smith
open this document and view contents Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs - Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli
open this document and view contents A disagreement count scheme for inference of constrained Markov networks - J. Gregor and Michael G. Thomason
open this document and view contents A Reply to Pazzani's Book Review of Inductive Logic Programming: Techniques and Applications - Nada Lavrac and Saso Dzeroski
open this document and view contents Managing complexity in neuroidal circuits - Leslie G. Valiant
open this document and view contents Applying the multiple cause mixture model to text categorization - M. Sahami, M. Hearst and E. Saund
open this document and view contents Anomalous Learning Helps Succinctness - John Case, Sanjay Jain and Arun Sharma
open this document and view contents Error Reduction through Learning Multiple Descriptions - Kamal M. Ali and Michael J. Pazzani
open this document and view contents Data mining and machine learning (abstract) - Heikki Mannila
open this document and view contents On the complexity of learning from drifting distributions - Rakesh D. Barve and Philip M. Long
open this document and view contents Asking questions to minimize errors - Nader H. Bshouty, Sally A. Goldman, Thomas R. Hancock and Sleiman Matar
open this document and view contents Learning code regular and code linear languages - J. D. Emerald, K. G. Subramanian and D. G. Thomas
open this document and view contents Query learning of subsequential transducer - Juan Miguel Vilar
open this document and view contents A randomized approximation of the MDL for stochastic models with hidden variables - Kenji Yamanishi
open this document and view contents Theory-guided induction of logic programs by inference of regular languages - Henrik Boström
open this document and view contents Incremental Learning from Positive Data - S. Lange and T. Zeugmann
open this document and view contents Efficient learning of selective Bayesian network classifiers - Moninder Singh and Gregory M. Provan
open this document and view contents Using domain information during the learning of a subsequential transducer - José Oncina and Miguel Angel Varó
open this document and view contents Learning of depth two neural networks with constant fan-in at the hidden nodes - Peter Auer, Stephen Kwek, Wolfgang Maass and Manfred K. Warmuth
open this document and view contents Learning linear grammars from structural information - Jose M. Sempere and Antonio Fos
open this document and view contents A generalized reinforcement-learning model: Convergence and applications - Michael L. Littman and Csaba Szepesvári
open this document and view contents Book review: inductive logic programming: techniques and applications - Michael Pazzani
open this document and view contents Efficient Incremental Induction of Decision Trees - Dimitrios Kalles and Tim Morris
open this document and view contents On-line portfolio selection - Erik Ordentlich and Thomas Cover
open this document and view contents Discrete sequence prediction with commented Markov models - Reinhard Blasig
open this document and view contents Trees and learning - Wolfgang Merkle and Frank Stephan
open this document and view contents Learning goal oriented Bayesian networks for telecommunications risk management - Kazuo J. Ezawa, Moninder Singh and Steven W. Norton
open this document and view contents Proceedings of the Ninth Annual Conference on Computational Learning Theory - Avrim Blum and Michael Kearns
open this document and view contents Efficient Reinforcement Learning through Symbiotic Evolution - David E. Moriarty and Risto Miikkulainen
open this document and view contents Extracting Best Consensus Motifs from Positive and Negative Examples - Erika Tateishi, Osamu Maruyama and Satoru Miyano
open this document and view contents Predicting a binary sequence almost as well as the optimal biased coin - Yoav Freund
open this document and view contents Learning sparse multivariate polynomials over a field with queries and counterexamples - Robert E. Schapire and Linda M. Sellie
open this document and view contents A note on grammatical inference of slender context-free languages - Yuji Takada and Taishin Y. Nishida
open this document and view contents Cost-sensitive feature reduction applied to a hybrid genetic algorithm - Nada Lavrač, Dragan Gamberger and Peter Turney
open this document and view contents Learning radial basis function networks on-line - E. Blanzieri and P. Katenkamp
open this document and view contents Learning binary perceptrons perfectly efficiently - Shao C. Fang and Santosh S. Venkatesh
open this document and view contents Identifying the information contained in a flawed theory - Sean P. Engelson and Moshe Koppel
open this document and view contents A data dependent skeleton estimate for learning - Gábor Lugosi and Márta Pintér
open this document and view contents Inductive logic programming for discrete event systems - David Lorenzo
open this document and view contents The dual DFA learning problem: hardness results for programming by demonstration and learning first-order representations - William W. Cohen
open this document and view contents Recent Advances in Robot Learning - J. Franklin and T. Mitchell and S. Thrun
open this document and view contents Learning with Confidence - Jānis Bārzdiņs, Rīsiņs Freivalds and Carl H. Smith
open this document and view contents K nearest neighbor classification on feature projections - Aynur Akkuş and H. Altay Güvenir
open this document and view contents An advanced evolution should not repeat its past errors - Caroline Ravis'e and Michèle Sebag
open this document and view contents Graph learning with a nearest neighbor approach - Sven Koenig and Yury Smirnov
open this document and view contents Theoretical analysis of the nearest neighbor classifier in noisy domains - Seishi Okamoto and Nobuhiro Yugami
open this document and view contents Learning k-piecewise testable languages from positive data - José Ruiz and Pedro Garcia
open this document and view contents Linear estimation in Krein spaces - part I: Theory - B. Hassibi, A. H. Sayed and T. Kailath
open this document and view contents Technical note: incremental multi-step Q-learning - Jing Peng and Ronald J. Williams
open this document and view contents Efficient learning of real time two-counter automata - Amr F. Fahmy and Robert S. Roos
open this document and view contents Classification by feature partitioning - H. Altay Güvenir and Izzet Sirin
open this document and view contents The kindest cut: minimum message length segmentation - Rohan A. Baxter and Jonathan J. Oliver
open this document and view contents Efficient Learning of One-Variable Pattern Languages from Positive Examples - T. Erlebach, P. Rossmanith, H. Stadtherr, A. Steger and T. Zeugmann
open this document and view contents Guest Editor's Introduction - Thomas Hancock
open this document and view contents Sensitive discount optimality: unifying discounted and average reward reinforcement learning - Sridhar Mahadevan
open this document and view contents Selection criteria for word trigger pairs in language modelling - Christoph Tillmann and Hermann Ney
open this document and view contents Editors' foreword - William Gasarch and Ming Li
open this document and view contents An incremental interactive algorithm for grammar inference - Rajesh Parekh and Vasant Honavar
open this document and view contents Learning an optimal decision strategy in an influence diagram with latent variables - V. G. Vovk
open this document and view contents Bias plus variance decomposition for zero-one loss functions - Ron Kohavi and David H. Wolpert
open this document and view contents Delaying the choice of bias: a disjunctive version space approach - Michele Sebag
open this document and view contents Inferring a Tree from Walks - Osamu Maruyama and Satoru Miyano
open this document and view contents Learning Controllers for Industrial Robots - C. Baroglio, A. Giordana, M. Kaiser, M. Nuttin and R. Piola
open this document and view contents Recognition and exploitation of contextual clues via incremental meta-learning - Gerhard Widmer
open this document and view contents Scaling Up Inductive Learning with Massive Parallelism - Foster John Provost and John M. Aronis
open this document and view contents Noise elimination in inductive concept learning: a case study in medical diagnosis - Dragan Gamberger, Nada Lavrač and Sašo Dzeroski
open this document and view contents Computing the maximum bichromatic discrepancy, with applications to computer graphics and machine learning - David P. Dobkin and Dimitrios Gunopulos
open this document and view contents Constructive learning of translations based on dictionaries - Noriko Sugimoto, Kouichi Hirata and Hiroki Ishizaka
open this document and view contents Teaching a smarter learner - Sally A. Goldman and H. David Mathias
open this document and view contents Scaling up average reward reinforcement learning by approximating the domain models and the value function - Prasad Tadepalli and DoKyeong Ok
open this document and view contents Incremental Multi-Step Q-Learning - Jing Peng and Ronald J. Williams
open this document and view contents A convergent reinforcement learning algorithm in the continuous case: the finite-element reinforcement learning - Rémi Munos
open this document and view contents Boosting first-order learning - J. R. Quinlan
open this document and view contents Nonparametric statistical methods for experimental evaluations of speedup learning - Geoffrey J. Gordon and Alberto Maria Segre
open this document and view contents PAC learning with simple examples - F. Denis, C. D'Halluin and R. Gilleron
open this document and view contents Genetic fitness optimization using rapidly mixing Markov chains - Paul Vitányi
open this document and view contents Learning Concepts from Sensor Data of a Mobile Robot - Volker Klingspor, Katharina J. Morik and Anke D. Rieger
open this document and view contents Learning branches and learning to win closed games - Martin Kummer and Matthias Ott
open this document and view contents Beyond independence: conditions for the optimality of the simple Bayesian classifier - Pedro Domingos and Michael Pazzani
open this document and view contents Learnability: Admissible, Co-Finite, and Hypersimple Languages - Ganesh Baliga and John Case
open this document and view contents Solving POMDPs with Levin search and EIRA - Marco Wiering and Jürgen Schmidhuber
open this document and view contents Causal discovery via MML - Chris Wallace, Kevin B. Korb and Honghua Dai
open this document and view contents Improving the efficiency of knowledge base refinement - Leonardo Carbonara and Derek Sleeman
open this document and view contents PAC Learning of One-Dimensional Patterns - Paul W. Goldberg, Sally A. Goldman and Stephen D. Scott
open this document and view contents A Decision-Tree Model of Balance Scale Development - William C. Schmidt and Charles X. Ling
open this document and view contents Analogy access by mapping spreading and abstraction in large, multifunctional knowledge bases - Davide Roverso
open this document and view contents Feature-Based Methods for Large Scale Dynamic Programming - John N. Tsitsiklis and Benjamin van Roy
open this document and view contents Discovering structure in multiple learning tasks: the TC algorithm - Sebastian Thrun and Joseph O'Sullivan
open this document and view contents Creating Advice-Taking Reinforcement Learners - Richard Maclin and Jude W. Shavlik
open this document and view contents Learning Behaviors of Automata from Multiplicity and Equivalence Queries - Francesco Bergadano and Stefano Varricchio
open this document and view contents Synthesizing enumeration techniques for language learning - Ganesh R. Baliga, John Case and Sanjay Jain
open this document and view contents Learning to Select Useful Landmarks - Russell Greiner and Ramana Isukapalli
open this document and view contents On Learning Visual Concepts and DNF Formulae - Eyal Kushilevitz and Dan Roth
open this document and view contents Algorithms and applications for multitask learning - Rich Caruana
open this document and view contents Learning curve bounds for a Markov decision process with undiscounted rewards - Lawrence K. Saul and Satinder P. Singh
open this document and view contents Statistical theory of generalization (abstract) - Vladimir Vapnik
open this document and view contents Fat-shattering and the learnability of real-valued functions - Peter L. Bartlett, Philip M. Long and Robert C. Williamson
open this document and view contents Stochastic simple recurrent neural networks - Mostefa Golea, Masahiro Matsuoka and Yasubumi Sakakibara
open this document and view contents On learning width two branching programs - Nader H. Bshouty, Christino Tamon and David K. Wilson
open this document and view contents On learning and co-learning of minimal programs - Sanjay Jain, Efim Kinber and Rolf Wiehagen
open this document and view contents A simple algorithm for learning O(log n)-term DNF - Eyal Kushilevitz
open this document and view contents Learning grammatical stucture using statistical decision-trees - David M. Magerman
open this document and view contents Linear least-squares algorithms for temporal difference learning - Steven J. Bradtke and Andrew G. Barto
open this document and view contents Reducing complexity of decision trees with two variable tests - R. A. Pearson and E. K. T. Smith
open this document and view contents Theory-guided empirical speedup learning of goal decomposition rules - Chandra Reddy, Prasad Tadepalli and Silvana Roncagliolo
open this document and view contents Exploiting the omission of irrelevant data - Russell Greiner, Adam J. Grove and Alexander Kogan
open this document and view contents Passive distance learning for robot navigation - Sven Koenig and Reid G. Simmons
open this document and view contents On-line adaptation of a signal predistorter through dual reinforcement learning - Patrick Goetz, Shailesh Kumar and Risto Miikkulainen
open this document and view contents Limits of exact algorithms for inference of minimum size finite state machines - Arlindo L. Oliveira and Stephen Edwards
open this document and view contents Toward optimal feature selection - Daphne Koller and Mehran Sahami
open this document and view contents The bounded injury priority method and the learnability of unions of rectangles - Z. Chen and S. Homer
open this document and view contents Attribute-efficient learning in query and mistake-bound models - Nader H. Bshouty and Lisa Hellerstein
open this document and view contents General bounds on the number of examples needed for learning probabilistic concepts - Hans Ulrich Simon
open this document and view contents Incorporating hypothetical knowledge into the process of inductive synthesis - Jānis Bārzdiņš and Ugis Sarkans
open this document and view contents Learning word association norms using tree cut pair models - Naoki Abe and Hang Li
open this document and view contents Discovering Unbounded Unions of Regular Pattern Languages from Positive Examples (Extended Abstract) - Alvis Brāzma, Esko Ukkonen and Jaak Vilo
open this document and view contents Partially Supervised Learning for Nearest Neighbor Classifiers - Hiroyuki Matsunaga and Kiichi Urahama
open this document and view contents Inducing constraint grammars - Christer Samuelsson, Pasi Tapanainen and Atro Voutilainen
Aprilopen this document and view contents Probably Approximately Optimal Satisficing Strategies - Russell Greiner and Pekka Orponen
Julyopen this document and view contents PALO: A probabilistic hill-climbing algorithm - Russell Greiner
Augustopen this document and view contents Using Vapnik-Chervonenkis Dimension to Analyze the Testing Complexity of Program Segments - Kathleen Romanik and Jeffrey Scott Vitter
open this document and view contents Machine Induction Without Revolutionary Changes in Hypothesis Size - John Case, Sanjay Jain and Arun Sharma
open this document and view contents On Duality in Learning and the Selection of Learning Teams - Kalvis Aps\=ıtis, Rīsiņš Freivalds and Carl H. Smith
open this document and view contents Probably Almost Bayes Decisions - Svetlana Anoulova, Paul Fischer, Stefan Pölt and Hans Ulrich Simon
Octoberopen this document and view contents Algorithmic Learning Theory, 7th International Workshop, ALT '96, Sydney, Australia, October 1996, Proceedings - Setsuo Arikawa and Arun K. Sharma