 | S. W. Shaw, D -- Inferring LISP programs from example problems - 1975 |
| Sadohara, Ken -- Analogical logic program synthesis algorithm that can refute inappropriate similarities - 1995 |
| Saerens, Marco -- Non mean square error criteria for the training of learning machines - 1996 |
 | Sahami, Mehran |
| Saitta, L. |
| Saitta, Lorenza |
| Sakai, Y. |
| Sakai, Yoshifumi |
| Sakaki, Y. -- The logic of molecular geneticists for the understanding of genetic information - 1992 |
| Sakakibara, Y. |
| Sakakibara, Yasubumi |
| Sakakibara, K. P. Jantke Y. -- Learning Languages by Collecting Cases and Tuning Parameters - 1994 |
| Sakamoto, Hiroshi -- Language learning from membership queries and characteristic examples - 1995 |
| Sakr, M. F. -- Predicting multiprocessor memory access patterns with learning models - 1997 |
| Saks, M. E. -- On threshold circuits for parity - 1990 |
| Sakurai, A. |
| Sakurai, S. -- Towards learning by abstraction - 1992 |
| Salganicoff, Marcos |
| Sallantin, J. -- Some remarks about space-complexity of learning, and circuit complexity of recognizing - 1988 |
| Salton, G. -- The effect of adding relevance information in a relevance feedback environment - 1994 |
| Salzberg, Steven |
| Salzberg, S. -- Exemplar-based learning: theory and implementation - October 1988 |
| Salzberg, Steven L. -- Book Review: C4.5: Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993. - 1994 |
| Sammut, C. -- Learning Concepts by Asking Questions - 1986 |
| Sammut, Claude -- Automatic speaker recognition: an application of machine learning - 1995 |
| Samuel, A. L. |
| Sanger, T. D. -- Optimal unsupervised learning in a single-layer linear feedforward neural network - 1989 |
| Sangiovanni-Vincentelli, Alberto |
| Saoudi, A. -- Learning Local and Recognizable -languages and Monadic Logic Programs - 1994 |
| Sarkans, U. -- Towards efficient inductive synthesis of expressions from input/output examples - 1993 |
| Sarrett, Wendy -- A Framework for Average Case Analysis of Conjunctive Learning Algorithms - 1992 |
| Sassin, M. -- Robot Programming by Demonstration RPD : Supporting the Induction by Human Interaction - 1996 |
| Sato, M. |
| Sato, T. -- Inductive resolution - 1993 |
| Satyanarayana, S. -- A Reconfigurable Analog VLSI Neural Network Chip - 1989 |
| Saul, Lawrence K. |
| Saul, Ronald -- Discrete Sequence Prediction and Its Applications - 1994 |
| Saund, Eric -- Applying the multiple cause mixture model to text categorization - 1996 |
| Sawamura, H. -- Reformulation of explanation by linear logic - toward logic for explanation - 1993 |
| Sayed, A. H. |
| Schaal, Stefan -- Robot learning from demonstration - 1997 |
| Schach, S. R. -- Learning switch configurations - 1990 |
| Schaffer, Cullen |
| Schain, Mariano -- Learning with Maximum-Entropy Distributions - 1997 |
| Schapire, R. |
| Schapire, R. E. |
| Schapire, Robert E. |
| Scheffer, Tobias -- Why experimentation can be better than Perfect Guidance - 1997 |
| Schäfer-Richter, G. |
| Schieber, B. -- Navigating in Unfamiliar Geometric Terrain - 1991 |
| Schlimmer, Jeffrey C. -- Incremental Learning from Noisy Data - 1986 |
| Schlosser, Michael -- Non-linear decision trees - NDT - 1996 |
| Schmidhuber, Jürgen -- Discovering solutions with low Kolmogorov complexity and high generalization capability - 1995 |
| Schmidt, William C. |
| Schmitt, Michael -- On the Complexity of Learning for a Spiking Neuron - 1997 |
| Schneider, Jeff -- Efficient locally weighted polynomial regression predictions - 1997 |
| Schnitger, G. -- On the computational power of sigmoid versus Boolean threshold circuits - 1991 |
| Schraudolph, Nicol N. -- Dynamic Parameter Encoding for Genetic Algorithms - 1992 |
| Schultz, Alan C. -- Learning Sequential Decision Rules Using Simulation Models and Competition - 1990 |
| Schultz, Thomas R. -- Modeling cognitive development on balance-scale phenomena - 1994 |
| Schuurmans, Dale |
| Schwanke, Robert W. -- Using neural networks to modularize software - 1994 |
| Schwartz, D. -- Automatic learning, rule extraction and generalization - 1987 |
| Schwartz, D. B. -- Adaptive Neural Networks Using MOS Charge Storage - 1989 |
| Schwartzbach, Michael I. -- Efficient inference of partial types - 1994 |
| Schwartzman, Clara -- Learning by extended statistical queries and its relation to PAC learning - 1995 |
| Scmidhuber, Jürgen -- Solving POMDPs with Levin search and EIRA - 1996 |
| Scott, Paul D. |
| Scott, Stephen D. |
| Searls, David -- Introduction - 1995 |
| Sebag, Michèle |
| Sebag, Michele -- Delaying the choice of bias: a disjunctive version space approach - 1996 |
| Segre, Alberto Maria |
| Segre, Alberto -- A Critical Look at Experimental Evaluations of EBL - 1991 |
| Seidel, R. -- Volume of Polyhedra - 1995 |
| Seifert, Colleen M. |
| Sejnowski, T. J. |
| Sejnowski, Terrence J. |
| Sellie, L. |
| Sellie, Linda M. |
| Selman, Bart |
| Servan-Schreiber, David -- Graded State Machines: The Representation of Temporal Contingencies in Simple Recurrent Networks - 1991 |
| Sethares, William A. -- Online learning via congregational gradient descent - 1995 |
| Setiono, Rudy -- A probabilistic approach to feature selection - a filter solution - 1996 |
| Seung, H. S. |
| Seung, H. Sebastian -- Learning from a population of hypotheses - 1995 |
| Shackelford, G. -- Learning k-DNF with Noise in the Attributes - 1988 |
| Shaffer, Cullen -- A conservation law for generalization performance - 1994 |
| Shaked, U. -- H_-optimal estimation: A tutorial - December 1992 |
| Shamir, A. |
| Shamir, Eli |
| Shamir, E. -- A remark on discovery algorithms for grammars - 1962 |
| Shapiro, E. Y. |
| Shapiro, E. -- A General Incremental Algorithm that Infers Theory from Facts - 1981 |
| Shapiro, N. -- Review of "Limiting recursion" by E.M. Gold and "Trial and error predicates and the solution to a problem of Mostowski" by H. Putnam - 1971 |
| Sharma, A. |
| Sharma, Arun |
| Shavlik, Jude |
| Shavlik, Jude W. |
| Shawe-Taylor, J. |
| Shawe-Taylor, John |
| Shen, Wei-Min -- Discovery as Autonomous Learning from the Environment - 1993 |
| Shields, P. -- Total complexity and the inference of best programs - 1977 |
| Shikano, K. -- Phoneme Recognition Using Time-Delay Neural Networks - 1987 |
| Shimshoni, I. -- Planning and learning in permutation groups - 1989 |
| Shimura, M. -- Recovery from multiple faults in relational theory - 1992 |
| Shinohara, A. |
| Shinohara, T. |
| Shinohara, Ayumi -- Learning pattern languages using queries - 1997 |
| Shinohara, Takeshi -- Learning unions of tree patterns using queries - 1995 |
| Shinomoto, S. |
| Shiratori, N. -- Synthesis algorithm for recursive processes by -calculus - 1994 |
| Shivakumar, Sailaja |
| Shor, P. W. -- Efficient NC algorithms for set cover with applications to learning and geometry - 1989 |
| Shortliffe, E. H. -- A Method for Managing Evidential Reasoning in a Hierarchical Hypothesis Space - July 1985 |
| Shrager, Jeff -- Theory Change via View Application in Instructionless Learning - 1987 |
| Shtarkov, Y. M. -- Univresal sequential Coding of Single Messages - 1987 |
| Shultz, Thomas R. -- Modeling Cognitive Development on Balance Scale Phenomena - 1994 |
| Shvaytser, H. |
| Shvaytser, Haim -- A Necessary Condition for Learning from Positive Examples - 1990 |
| Sidorowich, J. J. -- Exploiting Chaos to Predict the Future and Reduce Noise - March 1988 |
| Siegelmann, H. -- On the power of sigmoid neural networks - 1993 |
| Siegelmann, H. T. -- On a learnability question associated to neural networks with continuous activations - 1994 |
| Siegelmann, Hava T. -- On the computational power of neural nets - 1995 |
| Siklossy, L. -- Automatic program synthesis for example problems - 1975 |
| Silver, B. -- A critical survey of rule learning programs - 1981 |
| Simard, P. -- Improving Performance in Neural Networks Using a Boosting Algorithm - 1992 |
| Simmons, Reid G. |
| Simon, H. |
| Simon, H. A. |
| Simon, H. U. |
| Simon, Hans Ulrich |
| Simon, Hans-U. -- Robust trainability of single neurons - 1995 |
| Simon, Herbert A. -- A Theory of Historical Discovery: The Construction of Componential Models - 1986 |
| Singer, Y. |
| Singer, Yoram |
| Singer, Robert E. Schapire andYoram -- A Comparison of New and Old Algorithms for a Mixture Estimation Problem - 1997 |
| Singh, Mona |
| Singh, Moninder |
| Singh, Satinder P. |
| Singh, M. -- Learning functions of k terms - 1990 |
| Singh, Satinder P -- Reinforcement Learning with Replacing Eligibility Traces - 1996 |
| Singh, Satinder Pal -- Transfer of Learning by Composing Solutions of Elemental Sequential Tasks - 1992 |
| Sipser, M. -- Inference and minimization of hidden Markov chains - 1994 |
| Sirin, Izzet -- Classification by feature partitioning - 1996 |
| Siromoney, R. |
| Sitaraman, R. K. -- Learning programs with an easy to calculate set of errors - 1992 |
| Siu, K. -- A geometric approach to threshold circuit complexity - 1991 |
| Sjölander, K. |
| Sjölander, Kimmen |
| Skalak, David B. -- Prototype and feature selection by sampling and random mutation hill climbing algorithms - 1994 |
| Skrzypek, J. -- Synergy of clustering multiple backpropagation networks - 1989 |
| Slaman, T. |
| Slaman, T. A. -- When oracles do not help - 1991 |
| Slate, David J. -- Letter Recognition Using Holland-Style Adaptive Classifiers - 1991 |
| Slawny, J. -- Back Propagation Fails to Separate Where Perceptrons Succeed - May 1989 |
| Sleeman, D. |
| Sleeman, Derek -- Improving the efficiency of knowledge base refinement - 1996 |
| Sloan, R. |
| Sloan, R. H. |
| Sloan, Robert H. |
| Slonim, Donna K. |
| Slonim, D. K. -- Learning monotone DNF with an incomplete membership oracle - 1991 |
| Smirnov, Yury -- Graph learning with a nearest neighbor approach - 1996 |
| Smith, C. |
| Smith, C. H. |
| Smith, Carl |
| Smith, Carl H. |
| Smith, D. R. |
| Smith, Kenneth C. -- Performance Improvement of Robot Continuous-Path Operation through Iterative Learning Using Neural Networks - 1996 |
| Smith, S. W. -- Improved learning of AC^0 functions - 1991 |
| Smith, Stephen F. -- Competition-Based Induction of Decision Models from Examples - 1993 |
| Smotrovs, J. -- Enumerable classes of total recursive functions: complexity of inductive inference - 1994 |
| Smotrovs, Juris -- Closedness properties in team learning of recursive functions - 1997 |
| Smyth, Padhraic -- Retrofitting decision tree classifiers using kernel density estimation - 1995 |
| Smyth, S. G. -- An Experimental Comparison of Connectionist and Conventional Classification Systems on Natural Data - October 1989 |
| Snapp, R. R. -- BELLMAN STRIKES AGAIN! The growth rate of sample complexity with dimension for the nearest neighbor classifier - 1992 |
| Soda, Giovanni -- Representation of finite state automata in recurrent radial basis function networks - 1996 |
| Solares, Cristina -- Learning and Updating of Uncertainty in Dirichlet Models - 1997 |
| Solla, S. |
| Solla, S. A. |
| Solomonoff, R. J. |
| Solomonoff, Ray J. -- The discovery of algorithmic probability: a guide for the programming of true creativity - 1995 |
| Solovay, R. |
| Solovay, R. M. -- When oracles do not help - 1991 |
| Sompolinsky, H. |
| Sondhi, M. M. |
| Sontag, E. |
| Sontag, E. D. |
| Sontag, Eduardo D. |
| Spears, William -- For every generalization action is there really an equal and opposite reaction? Analysis of the conservation law for generalization performance - 1995 |
| Spears, William M. -- Using Genetic Algorithms for Concept Learning - 1993 |
| Spirkovska, Lilly -- Higher-Order Neural Networks Applied to 2D and 3D Object Recognition - 1994 |
| Sporns, O. -- Synthetic Neural Modelling: Comparisons of Population and Connectionist Approaches - 1989 |
| Springsteel, F. N. -- Complexity of mechanized hypothesis formation - 1979 |
| Squires, Brett -- Automatic speaker recognition: an application of machine learning - 1995 |
| Stadtherr, H. -- Efficient Learning of One-Variable Pattern Languages from Positive Examples - 1996 |
| Stahl, Irene -- The Appropriateness of Predicate Invention as Bias Shift Operation in ILP - 1995 |
| Statman, R. |
| Stearns, S. -- Adaptive Signal Processing - 1985 |
| Steeg, Evan W. -- Use of Adaptive Networks to Define Highly Predictable Protein Secondary-Structure Classes - 1995 |
| Steger, A. -- Efficient Learning of One-Variable Pattern Languages from Positive Examples - 1996 |
| Stephan, F. |
| Stephan, Frank |
| Stinchcombe, M. -- Universal Approximation of an Unknown Mapping and Its Derivatives Using Multilayer Feedforward Networks - 1990 |
| Stob, M. |
| Stob, Michael -- A Universal Method of Scientific Inquiry - 1992 |
| Stolfo, S. J. |
| Stolfo, Salvatore J. -- A comparative evaluation of voting and meta-learning on partitioned data - 1995 |
| Stone, C. J. -- Classification and Regression Trees - 1984 |
| Stormo, G. D. -- Optimally Parsing a Sequence into Different Classes Based on Multiple Types of Information - August 1994 |
| Street, W. Nick -- An inductive learning approach to prognostic prediction - 1995 |
| Stuetzle, W. -- Projection Pursuit Regression - December 1981 |
| Subramaniam, Shankar -- Searching for Representations to Improve Protein Sequence Fold-Class Prediction - 1995 |
| Subramanian, Devika -- Shifting Vocabulary Bias in Speedup Learning - 1995 |
| Subramanian, K. G. -- Thue systems and DNA - a learning algorithm for a subclass - 1993 |
| Sudan, M. -- Reconstructing algebraic functions from mixed data - 1992 |
| Sudan, Madhu -- Learning polynomials with queries: the highly noisy case - 1995 |
| Suematsu, Nobuo -- A Bayesian approach to model learning in non-Markovian environments - 1997 |
| Summers, P. D. |
| Sun, G. Z. |
| Suppes, Patrick -- Comprehension Grammars Generated from Machine Learning of Natural Languages - 1995 |
| Suraj, M. -- Machine Learning of Higher Order Programs - 1994 |
| Suraj, Mandayam -- Control structures in hypothesis spaces: the influence on learning - 1997 |
| Suri, -- Noise-Tolerant Distribution-Free Learning of General Geometric Concepts - 1996 |
| Sussmann, H. J. |
| Sutton, R. S. |
| Sutton, Richard S. |
| Suwa, M. |
| Suzuki, Joe -- Learning Bayesian belief networks based on the minimum description length principle: an efficient algorithm using the B \& B technique - 1996 |
| Sykes, D. -- Automatic program synthesis for example problems - 1975 |
| Szabo, Z. S. -- Stratified Inductive Hypothesis Generation - 1986 |
| Szepesvári, Csaba -- A generalized reinforcement-learning model:convergence and applications - 1996 |