A B C D E F G H I J-K L M N O P Q R S T U V W-Z 0-9
View the document Natural properties of strategies identifying recursive functions - K. P. Jantke - 1979
View the document Navigating in Unfamiliar Geometric Terrain - A. Blum, P. Raghavan and B. Schieber - 1991
View the document A Nearest Hyperrectangle Learning Method - Steven Salzberg - 1991
View the document Nearest Neighbor Pattern Classification - T. M. Cover and P. E. Hart - January 1967
View the document Nearly tight bounds on the learnability of evolution - Andris Ambainis, Richard Desper, Martin Farach and Sampath Kannan - 1997
View the document Near-Optimal Reinforcement Learning in Polynomial Time - Michael Kearns and Satinder Singh - 2002
View the document Near-optimal reinforcement learning in polynomial time - Michael Kearns and Satinder Singh - 1998
View the document A Necessary Condition for Learning from Positive Examples - Haim Shvaytser - 1990
View the document The need for biases in learning generalizations - T. M. Mitchell - 1980
View the document A Negative Result on Inductive Inference of Extended Pattern Languages - Daniel Reidenbach - 2002
View the document Negative results for equivalence queries - D. Angluin - 1990
View the document Negative robust learning results for Horn clause programs - Pascal Jappy, Richard Nock and Olivier Gascuel - 1996
View the document Networks and the Best Approximation Property - T. Poggio and F. Girosi - October 1989
View the document Neural circuits for pattern recognition with small total wire length - Robert A. Legenstein and Wolfgang Maass - 2002
View the document Neural Darwinism - The Theory of Neuronal Group Selection - G. M. Edelman - 1987
View the document Neural Discriminant Analysis - Jorge Ricardo Cuellar and Hans Ulrich Simon - 1993
View the document Neural net algorithms that learn in polynomial time from examples and queries - E. Baum - 1991
View the document Neural Network-Based Vision for Precise Control of a Walking Robot - Dean A. Pomerleau - 1994
View the document Neural Network Design and the Complexity of Learning - J. S. Judd - 1990
View the document Neural Network Design and the Complexity of Learning - Vasant Honavar - 1992
View the document Neural Network Learning: Effects of Network and Training Set Size - N. Perugini - June 1989
View the document The Neural Network Loading Problem is Undecidable - H. Wiklicky - 1994
View the document A neural network model for prognostic prediction - W. Nick Street - 1998
View the document Neural network modeling of physiological processes - Volker Tresp, John Moody and Wolf-Rüdiger Delong - 1994
View the document Neural Networks: a Comprehensive Foundation - S. Haykin - 1994
View the document Neural networks and efficient associative memory - Matthias Miltrup and Georg Schnitger - 1998
View the document Neural networks and physical systems with emergent collective computational abilities - J. J. Hopfield - April 1982
View the document Neural networks for full-scale protein sequence classification: sequence encoding with singular value decomposition - Cathy Wu, Michael Berry, Sailaja Shivakumar and Jerry McLarty - 1995
View the document Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition - Cathy Wu, Michael Berry and Sailaja Shivakumar - 1995
View the document Neural Networks in Mathematica - J. A. Freeman - November 1992
View the document Neural networks, principle components, and subspaces - E. Oja - 1989
View the document A `Neural' Network that Learns to Play Backgammon - G. Tesauro and T. J. Sejnowski - July 1989
View the document Neurocomputing: Foundations of Research - J. A. Anderson and E. Rosenfeld - 1988
View the document Neurogammon: A Neural-Network Backgammon Program - G. Tesauro - March 1990
View the document A Neuroidal Model for Cognitive Functions - L. Valiant - 1994
View the document A New Algorithm for Automatic Configuration of Hidden Markov Models - Makoto Iwayama, Nitin Indurkhya and Hiroshi Motoda - 1993
View the document A New Approach to Unsupervised Learning in Deterministic Environments - R. L. Rivest and R. E. Schapire - June 1987
View the document A New Approach to Unsupervised Learning in Deterministic Environments (reprint) - R. L. Rivest and R. E. Schapire - 1990
View the document New Error Bounds for Solomonoff Prediction - Marcus Hutter - 2001
View the document A New Framework for Discovering Knowledge from Two-Dimensional Structured Data Using Layout Formal Graph System - Tomoyuki Uchida, Yuko Itokawa, Takayoshi Shoudai, Tetsuhiro Miyahara and Yasuaki Nakamura - 2000
View the document A new heuristic for inferring regular grammars - S. Y. Itoga - 1981
View the document New Lower Bounds for Statistical Query Learning - Ke Yang - 2002
View the document A new method for predicting protein secondary structures based on stochastic tree grammars - Naoki Abe and Hiroshi Mamitsuka - 1994
View the document A New Model for Inductive Inference - R. L. Rivest and R. Sloan - March 1988
View the document A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles - Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby and Golan Yona - 2002
View the document NewsWeeder: learning to filter netnews - Ken Lang - 1995
View the document New Theoretical Directions in Machine Learning - D. Haussler - 1988
View the document A new view of the EM algorithm that justifies incremental, sparse and other variants - R. M. Neal and G. E. Hinton - 1998
View the document N-Learners Problem: Fusion of Concepts - N. S. V. Rao, E. M. Oblow, C. W. Glover and G. E. Liepins - September 1991
View the document N-learners problem: system of PAC learners - Nageswara S. V. Rao and E. M. Oblow - 1997
View the document Noise elimination in inductive concept learning: a case study in medical diagnosis - Dragan Gamberger, Nada Lavrač and Sašo Dzeroski - 1996
View the document A noise model on learning sets of strings - Y. Sakakibara and R. Siromoney - 1992
View the document Noise-tolerant distribution-free learning of general geometric concepts - Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri and Hisao Tamaki - 1998
View the document Noise-Tolerant Distribution-Free Learning of General Geometric Concepts - N. H. Bshouty, S. A. Goldman, H. D. Mathias, S. Suri and H. Tamaki - 1996
View the document Noise-tolerant Efficient Inductive Synthesis of Regular Expressions from Good Examples - A. Brāzma and Čerāns - 1997
View the document Noise-tolerant learning, the parity problem, and the statistical query model - Avrim Blum, Adam Kalai and Hal Wasserman - 2000
View the document Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees - Yasubumi Sakakibara - 1993
View the document Noise-tolerant parallel learning of geometric concepts - Nader H. Bshouty, Sally A. Goldman and David H. Mathias - 1995
View the document Noise-tolerant recursive best-first induction - Uroš Pompe - 1999
View the document Noisy inference and oracles - Frank Stephan - 1997
View the document Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference - C. Lee Giles, Steve Lawrence and Ah Chung Tsoi - 2001
View the document A Non-Iterative Maximum Entropy Algorithm - S. A. Goldman and R. L. Rivest - 1988
View the document Non-learnable classes of Boolean formulae that are closed under variable permutation - H. Shvaytser - 1988
View the document Non-linear decision trees - NDT - Andreas Ittner and Michael Schlosser - 1996
View the document Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks - Adam Krzyżak - 2001
View the document Non-linear Inequalities between Predictive and Kolmogorov Complexities - Michael V. Vyugin and Vladimir V. V'yugin - 2001
View the document Non mean square error criteria for the training of learning machines - Marco Saerens - 1996
View the document Nonmonotonic Reasoning: Logical Foundations of Commonsense - G. Brewka - 1991
View the document A Nonparametric Approach to Noisy and Costly Optimization - Brigham S. Anderson, Andrew W. Moore and David Cohn - 2000
View the document Nonparametric Regularization of Decision Trees - Tobias Scheffer - 2000
View the document Nonparametric statistical methods for experimental evaluations of speedup learning - Geoffrey J. Gordon and Alberto Maria Segre - 1996
View the document Nonparametric Time Series Prediction Through Adaptive Model Selection - Ron Meir - 2000
View the document Nonuniform Learnability - G. M. Benedek and A. Itai - July 1988
View the document Nonuniform learnability - Gyora M. Benedek and Alon Itai - 1994
View the document A Normative Examination of Ensemble Learning Algorithms - David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles and Eric Horvitz - 2000
View the document Note on a Central Lemma of Learning Theory - D. Osherson, M. Stob and S. Weinstein - 1983
View the document A note on a scale-sensitive dimension of linear bounded functionals in Banach spaces - Leonid Gurvits - 2001
View the document A note on a scale-sensitive dimension of linear bounded functionals in Banach spaces - Leonid Gurvits - 1997
View the document A note on batch and incremental learnability - Arun Sharma - 1998
View the document A Note on Formal Learning Theory - D. Osherson and S. Weinstein - 1982
View the document A note on grammatical inference of slender context-free languages - Yuji Takada and Taishin Y. Nishida - 1996
View the document A note on inductive generalization - G. D. Plotkin - 1970
View the document A Note on Learning DNF Formulas Using Equivalence and Incomplete Membership Queries - Zhixiang Chen - 1994
View the document A note on learning from multiple-instance examples - Avrim Blum and Adam Kalai - 1998
View the document A note on learning multivariate polynomials under the uniform distribution - Nader H. Bshouty - 1995
View the document A note on Limit Identification of c-minimal Indices - E. B. Kinber - 1983
View the document A Note on Polynomial-Time Inference of k-Variable Pattern Language - S. Lange - 1990
View the document A Note on Refinement Operators - Tim Niblett - 1993
View the document A Note on Support Vector Machine Degeneracy - Ryan Rifkin, Massimiliano Pontil and Alessandro Verri - 1999
View the document A Note on the Generalization Performance of Kernel Classifiers with Margin - Theodoros Evgeniou and Massimiliano Pontil - 2000
View the document A note on the k-tail method of tree grammar inference - J. M. Brayer and K. S. Fu - 1977
View the document A note on the number of queries needed to identify regular languages - D. Angluin - 1982
View the document A note on the Pattern-finding Problem - C. Hua and K. Ko - 1984
View the document A note on the query complexity of learning DFA - José L. Balcázar, Josep Díaz, Ricard Gavaldà and Osamu Watanabe - 1993
View the document A note on the self-consistency of definitions of generalization and inductive inference - Henry P. Kramer - 1962
View the document A note on the use of probabilities by mechanical learners - Eric Martin and Daniel Osherson - 1995
View the document A note on VC-dimension and measure of sets of reals - Shai Ben-David and Leonid Gurvits - 1995
View the document Notes on the PAC learning of geometric concepts with additional information - Ken-ichiro Kakihara and Hiroshi Imai - 1993
View the document Not-so-nearly-minimal-size program inference - John Case, Mandayam Suraj and Sanjay Jain - 1995