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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
1992open this document and view contents On the Problem of Local Minima in Backpropagation - Marco Gori and Alberto Tesi
open this document and view contents Bayesian Methods for Adaptive Models - D. MacKay
open this document and view contents Robust trainability of single neurons - K. Höffgen and H. Simon
open this document and view contents An improved boosting algorithm and its implications on learning complexity - Y. Freund
open this document and view contents Polynomial time inference of unions of tree pattern languages - H. Arimura, T. Shinohara and S. Otsuki
open this document and view contents On the Power of Monotonic Language Learning - S. Lange and T. Zeugmann
open this document and view contents Proving based on similarity - K. Fujita and M. Harao
open this document and view contents Universal forecasting algorithms - V. Vovk
open this document and view contents A Learning Criterion for Stochastic Rules - Kenji Yamanishi
open this document and view contents Polynomial-time identification of very regular languages in the limit - N. Tanida and T. Yokomori
open this document and view contents Learning in parallel - J. Vitter and J. Lin
open this document and view contents Learning Elementary Formal Systems - Setsuo Arikawa, Takeshi Shinohara and Akihiro Yamamoto
open this document and view contents Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System - F. Bergadano, S. Matwin, R. S. Michalski and J. Zhang
open this document and view contents Universal sequential learning and decisions from individual data sequences - N. Merhav and M. Feder
open this document and view contents Inductive inference of formal languages from positive data enumerated primitive-recursively - A. Sakurai
open this document and view contents Learning Probabilistic Automata and Markov Chains via Queries - Wen-Guey Tzeng
open this document and view contents Learning semilinear sets from examples and via queries - Yuji Takada
open this document and view contents A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments - José Del R. Millán and Carme Torras
open this document and view contents Learning effect of a dynamic thesaurus in associated information retrieval - H. Kimoto and T. Iwadera
open this document and view contents The Design and Analysis of Efficient Learning Algorithms - R. E. Schapire
open this document and view contents Learning Boolean read-once formulas with arbitrary symmetric and constant fan-in gates - N. H. Bshouty, T. R. Hancock and L. Hellerstein
open this document and view contents Recovery from multiple faults in relational theory - S. Tangkitvanich and M. Shimura
open this document and view contents Transfer of Learning by Composing Solutions of Elemental Sequential Tasks - Satinder Pal Singh
open this document and view contents Relationships between PAC-learning algorithms and weak Occam algorithms - E. Takimoto and A. Maruoka
open this document and view contents On uniform learnability of language families - S. Kapur and G. Bilardi
open this document and view contents Entropy Optimization Principles with Applications - J. N. Kapur and H. K Kesavan
open this document and view contents Knowledge-intensive learning in connectionist networks - A. Namatame
open this document and view contents On Learning Limiting Programs - J. Case, S. Jain and A. Sharma
open this document and view contents Degrees of inferability - P. Cholak, R. Downey, L. Fortnow, W. Gasarch, E. Kinber, M. Kummer, S. Kurtz and T. Slaman
open this document and view contents Query by committee - H. S. Seung, M. Opper and H. Sompolinsky
open this document and view contents Learning switching concepts - A. Blum and P. Chalasani
open this document and view contents Case based learning in inductive inference - K. P. Jantke
open this document and view contents Learning conjunctions of Horn clauses - D. Angluin, M. Frazier and L. Pitt
open this document and view contents On the role of equivalence quries in MAT learning - S. Tani
open this document and view contents A noise model on learning sets of strings - Y. Sakakibara and R. Siromoney
open this document and view contents Random DFA's can be approximately learned from sparse uniform examples - K. J. Lang
open this document and view contents Analogy is NP-hard - S. Furuya and S. Miyano
open this document and view contents Too Much Information Can be too Much for Efficient Learning - R. Wiehagen and T. Zeugmann
open this document and view contents Learning recursive languages with bounded mind changes - S. Lange and T. Zeugmann
open this document and view contents On the Study of First Language Acquisition - D. Osherson and S. Weinstein
open this document and view contents Learning with a slowly changing distribution - P. L. Bartlett
open this document and view contents Practical Issues in Temporal Difference Learning - Gerald Tesauro
open this document and view contents Dynamic Parameter Encoding for Genetic Algorithms - Nicol N. Schraudolph and Richard K. Belew
open this document and view contents Computational learning theory: survey and selected bibliography - D. Angluin
open this document and view contents A training algorithm for optimal margin classifiers - B. E. Boser, I. M. Guyon and V. N. Vapnik
open this document and view contents Reconstructing algebraic functions from mixed data - S. Ar, R. J. Lipton, R. Rubinfeld and M. Sudan
open this document and view contents Characterizations of learnability for classes of { 0,dots ,n }-valued functions - S. Ben-David, N. Cesa-Bianchi and P. M. Long
open this document and view contents A computational model of teaching - J. Jackson and A. Tomkins
open this document and view contents Characterization of pattern languages - Y. Mukouchi
open this document and view contents Fast Learning of k-term DNF Formulas with Queries - A. Blum and S. Rudich
open this document and view contents A Bayesian Method for the Induction of Probabilistic Networks from Data - Gregory F. Cooper and Edward Herskovits
open this document and view contents PAC-learnability of determinate logic programs - S. Dzeroski, S. Muggleton and S. Russell
open this document and view contents A Universal Method of Scientific Inquiry - Daniel N. Osherson, Michael Stob and Scott Weinstein
open this document and view contents Self-Improving Reactive Agents Based On Reinforcement Learning, Planning and Teaching - Long-ji Lin
open this document and view contents Learning non-parametric densities by finite-dimensional parametric hypotheses - K. Yamanishi
open this document and view contents Four Types of Learning Curves - S. Amari, N. Fujita and S. Shinomoto
open this document and view contents Computational Learning Theory - M. Anthony and N. Biggs
open this document and view contents Learning programs with an easy to calculate set of errors - W. I. Gasarch, R. K. Sitaraman, C. H. Smith and M. Velauthapillai
open this document and view contents ACE: a syntax-directed editor customizable from examples and queries - Y. Takada, Y. Sakakibara and T. Ohtani
open this document and view contents Explorations of an Incremental, Bayesian Algorithm for Categorization - John R. Anderson and Michael Matessa
open this document and view contents Corrigendum to Types of noise in data for concept learning - R. H. Sloan
open this document and view contents Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization - Scott Dietzen and Frank Pfenning
open this document and view contents A form of analogy as an abductive inference - M. Haraguchi
open this document and view contents On the sample complexity of PAC-learning using random and chosen examples - B. B. Eisenberg
open this document and view contents Learning in multi-agent environments - P. Brazdil
open this document and view contents Analogical reasoning as a form of hypothetical reasoning and justification-based knowledge acquisition - R. Orihara
open this document and view contents The learning complexity of smooth functions of a single variable - D. Kimber and P. Long
open this document and view contents Lower Bound Methods and Separation Results for On-Line Learning Models - Wolfgang Maass and György Turán
open this document and view contents Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning - Ronald J. Williams
open this document and view contents On learning noisy theshold functions with finite precision weights - R. Meir and J. F. Fontanari
open this document and view contents A Statistical Approach to Solving the EBL Utility Problem - Russell Greiner and Igor Jurišica
open this document and view contents Inductive Inference from Theory Laden Data - K. T. Kelly and C. Glymour
open this document and view contents Improving Performance in Neural Networks Using a Boosting Algorithm - H. Drucker, R. Schapire and P. Simard
open this document and view contents A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning - J. Stephen Judd
open this document and view contents A Simple Lemma on Greedy Approximation in Hilbert Space and Convergence Rates for Projection Pursuit Regression and Neural Network Training - L. K. Jones
open this document and view contents Which classes of elementary formal systems are polynomial-time learnable? - S. Miyano, A. Shinohara and T. Shinohara
open this document and view contents Preliminary study on program synthesis based on induction and verification - K. Furukawa
open this document and view contents A Unifying Approach to Monotonic Language Learning on Informant - S. Lange and T. Zeugmann
open this document and view contents Learning heirarchical rule sets - J. Kivinen, H. Mannila and E. Ukkonen
open this document and view contents A Machine Discovery from Amino Acid Sequences by Decision Trees over Regular Patterns - Setsuo Arikawa, Satoru Kuhara, Satoru Miyano, Yasuhito Mukouchi, Ayumi Shinohara and Takeshi Shinohara
open this document and view contents Preservation of predictability under polynomially sparse variations and its applications - N. Abe
open this document and view contents Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem - William W. Cohen
open this document and view contents Learnability of description logics - W. W. Cohen and H. Hirsh
open this document and view contents Polynomial time inference of a subclass of context-free transformations - H. Arimura, H. Ishizaka and T. Shinohara
open this document and view contents Efficient learning of context-free grammars from positive structural examples - Yasubumi Sakakibara
open this document and view contents Memory Limited Inductive Inference Machines - Rusins Freivalds and Carl Smith
open this document and view contents On the Necessity of Occam Algorithms - Raymond Board and Leonard Pitt
open this document and view contents Learning k-term DNF formulas with an incomplete membership oracle - S. A. Goldman and H. D. Mathias
open this document and view contents On exact specification by examples - M. Anthony, G. Brightwell, D. Cohen and J. Shawe-Taylor
open this document and view contents Learning Integer Lattices - D. Helmbold, R. Sloan and M. K. Warmuth
open this document and view contents Universal Prediction of Individual Sequences - M. Feder, N. Merhav and M. Gutman
open this document and view contents Prequential Analysis, Stochastic Complexity and Bayesian Inference - A. P. Dawid
open this document and view contents Learning simple Boolean concepts - N. Littlestone
open this document and view contents A knowledge transfer model: from zero-knowledge toward full knowledge - Y. Tsukada and K. Koyama
open this document and view contents Some weak learning results - D. P. Helmbold and M. K. Warmuth
open this document and view contents Aggregating Inductive Expertise on Partial Recursive Functions - Anna-Maria Emde and Britta Schinzel
open this document and view contents On learning ring-sum expansions - P. Fischer and H. Simon
open this document and view contents Read-thrice DNF is hard to learn with membership and equivalence queries - H. Aizenstein, L. Hellerstein and L. Pitt
open this document and view contents A Framework for Average Case Analysis of Conjunctive Learning Algorithms - Michael J. Pazzani and Wendy Sarrett
open this document and view contents Algorithmic Learning Theory with Elementary Formal Systems - Setsuo Arikawa, Satoru Miyano, Ayumi Shinohara, Takeshi Shinohara and Akihiro Yamamoto
open this document and view contents PAB-decisions for Boolean and real-valued features - S. Anoulova, P. Fischer, S. Pölt and H. U. Simon
open this document and view contents On the exact learning of formulas in parallel - N. H. Bshouty and R. Cleve
open this document and view contents A technique for upper bounding the spectral norm with applications to learning - M. Bellare
open this document and view contents Inductive Inference From All Positive and Some Negative Data - T. Motoki
open this document and view contents On the Computational Complexity of Approximating Distributions by Probabilistic Automata - Naoki Abe and Manfred K. Warmuth
open this document and view contents Cryptographic lower bounds on learnability of Boolean functions on the uniform distribution - M. Kharitonov
open this document and view contents Polynomial uniform convergence and polynomial-sample learnability - A. Bertoni, P. Campadelli, A. Morpurgo and S. Panizza
open this document and view contents A Comparison between Squared Error and Relative Entropy Metrics Using Several Optimization Algorithms - R. L. Watrous
open this document and view contents The logic of molecular geneticists for the understanding of genetic information - Y. Sakaki
open this document and view contents Towards a more comprehensive theory of learning in computers - P. M. Long
open this document and view contents Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory - David Haussler
open this document and view contents The Utility of Knowledge in Inductive Learning - Michael Pazzani and Dennis Kibler
open this document and view contents A Further Comparison of Splitting Rules for Decision-Tree Induction - Wray Buntine and Tim Niblett
open this document and view contents Exact learning of read-k disjoint DNF and not-so-disjoint DNF - H. Aizenstein and L. Pitt
open this document and view contents Generalization versus classification - R. Wiehagen and C. H. Smith
open this document and view contents Absolute error bounds for learning linear functions online - E. J. Bernstein
open this document and view contents PAC learning with generalized samples and an application to stochastic geometry - S. R. Kulkarni, S. K. Mitter, J. N. Tsitsiklis and O. Zeitouni
open this document and view contents Inferring regular languages in polynomial update time - J. Oncina and P. Garcia
open this document and view contents Towards learning by abstraction - S. Sakurai and M. Haraguchi
open this document and view contents Learning DNF formulae under classes of probability distributions - M. Flammini, A. Marchetti-Spaccamela and L. K. Cera
open this document and view contents Neural Network Design and the Complexity of Learning - Vasant Honavar
open this document and view contents Characterization of finite identification - Y. Mukouchi
open this document and view contents Inductive reasoning and Kolmogorov complexity - M. Li and P. Vitanyi
open this document and view contents The use of abstract primitives in representing the meaning of Verbs for understanding metaphors - M. Suwa and H. Motoda
open this document and view contents Inductive inferability for formal languages from positive data - M. Sato and K. Umayahara
open this document and view contents Learning stochastic functions by smooth simultaneous estimation - K. L. Buescher and P. R. Kumar
open this document and view contents Types of monotonic language learning and their characterization - S. Lange and T. Zeugmann
open this document and view contents Learning arithmetic read-once formulas - N. H. Bshouty, T. R. Hancock and L. Hellerstein
open this document and view contents Analogical reasoning using elementary formal system with mismatch - T. Miyahara
open this document and view contents Dominating distributions and learnability - G. M. Benedek and A. Itai
open this document and view contents An interactive knowledge transfer model and analysis of Mastermind game - K. Koyama and T. Lai
open this document and view contents Forward models: Supervised learning with a distal teacher - M. I. Jordan and D. E. Rumelhart
open this document and view contents On-line learning of rectangles - Z. Chen and W. Maass
open this document and view contents Interactive Concept-Learning and Constructive Induction by Analogy - Luc De Raedt and Maurice Bruynooghe
open this document and view contents On the Handling of Continuous-Valued Attributes in Decision Tree Generation - Usama M. Fayyad and Keki B. Irani
open this document and view contents Apple tasting and nearly one-sided learning - D. P. Helmbold, N. Littlestone and P. M. Long
open this document and view contents Machine Learning: A Maturing Field - Jaime Carbonell
open this document and view contents A logical analysis of relevance in analogy - J. Arima
open this document and view contents Technical Note Q-Learning - Christopher J. C. H. Watkins and Peter Dayan
open this document and view contents The Convergence of TD(lambda) for General lambda - Peter Dayan
open this document and view contents Implementing Valiant's Learnability Theory Using Random Sets - E. M. Oblow
open this document and view contents BELLMAN STRIKES AGAIN! The growth rate of sample complexity with dimension for the nearest neighbor classifier - S. S. Venkatesh, R. R. Snapp and D. Psaltis
open this document and view contents Approximate testing and learnability - K. Romanik
open this document and view contents Learning from Multiple Sources of Inaccurate Data - G. Baliga, S. Jain and A. Sharma
open this document and view contents Polynomial time learning with version spaces - Haym Hirsh
open this document and view contents Incrementally Learning Time-Varying Half-planes - T. P. Anthony Kuh and R. L. Rivest
open this document and view contents Language learning from stochastic input - S. Kapur and G. Bilardi
open this document and view contents First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem - Terence C. Fogarty
open this document and view contents Strong Separation of Learning Classes - J. Case, K. J. Chen and S. Jain
open this document and view contents Discrimination-Based Constructive Induction of Logic Programs - Boonserm Kijsirikul, Masayuki Numao and Masamichi Shimura
Januaryopen this document and view contents Inferring Graphs from Walks - J. A. Aslam
Februaryopen this document and view contents Connectionist Modeling and Control of Finite-State Environments - J. R. Bachrach
open this document and view contents Algorithms for Exploring an Unknown Graph - M. Betke
Marchopen this document and view contents Identifiability of Hidden Markov Information Sources and their Minimum Degrees of Freedom - H. Ito, S. Amari and K. Kobayashi
open this document and view contents Learning via Queries to [+,<] - W. Gasarch, M. Pleszkoch and R. Solovay
Aprilopen this document and view contents Bayesian Training of Backpropagation Networks by the Hybrid Monte Carlo Method - R. M. Neal
Juneopen this document and view contents Some ideas on learning with directional feedback - I. Barland
open this document and view contents Probabilistic Hill-Climbing: Theory and Applications - Russell Greiner
Julyopen this document and view contents Learning via Queries - W. Gasarch and C. H. Smith
open this document and view contents Polynomially Sparse Variations and Reducibility among prediction problems - N. Abe and O. Watanabe
open this document and view contents Speeding inference by acquiring new concepts - Henry Kautz and Bart Selman
Septemberopen this document and view contents Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications - D. Haussler
Octoberopen this document and view contents Learning useful Horn approximations - Russell Greiner and Dale Schuurmans
open this document and view contents Learning Boolean Functions in an Infinite Attribute Space - A. Blum
open this document and view contents Analogical and Inductive Inference, International Workshop AII '92. Dagstuhl Castle, Germany, October 1992, Proceedings - K. P. Jantke
open this document and view contents A metric entropy bound is not sufficient for learnability - R. Dudley, S. Kulkarni, T. Richardson and O. Zeituni
Novemberopen this document and view contents Neural Networks in Mathematica - J. A. Freeman
Decemberopen this document and view contents Hinfinity-optimal estimation: A tutorial - U. Shaked and Y. Theodor