 | Natural properties of strategies identifying recursive functions - K. P. Jantke - 1979 |
| Navigating in Unfamiliar Geometric Terrain - A. Blum, P. Raghavan and B. Schieber - 1991 |
| A Nearest Hyperrectangle Learning Method - Steven Salzberg - 1991 |
| Nearest Neighbor Pattern Classification - T. M. Cover and P. E. Hart - January 1967 |
| A Necessary Condition for Learning from Positive Examples - Haim Shvaytser - 1990 |
| The need for biases in learning generalizations - T. M. Mitchell - 1980 |
| Negative results for equivalence queries - D. Angluin - 1990 |
| Negative robust learning results for Horn clause programs - Pascal Jappy, Richard Nock and Olivier Gascuel - 1996 |
| A ‘Neural’ Network that Learns to Play Backgammon - G. Tesauro and T. J. Sejnowski - July 1989 |
| Networks and the Best Approximation Property - T. Poggio and F. Girosi - October 1989 |
| Neural Darwinism - The Theory of Neuronal Group Selection - G. M. Edelman - 1987 |
| Neural discriminant analysis - J. R. Cuellar and H. U. Simon - 1993 |
| Neural net algorithms that learn in polynomial time from examples and queries - E. Baum - 1991 |
| Neural Network Design and the Complexity of Learning - Vasant Honavar - 1992 |
| Neural Network Design and the Complexity of Learning - J. S. Judd - 1990 |
| Neural Network Learning: Effects of Network and Training Set Size - N. Perugini - June 1989 |
| The Neural Network Loading Problem is Undecidable - H. Wiklicky - 1994 |
| Neural Network-Based Vision for Precise Control of a Walking Robot - Dean A. Pomerleau - 1994 |
| Neural Networks: a Comprehensive Foundation - S. Haykin - 1994 |
| Neural networks and physical systems with emergent collective computational abilities - J. J. Hopfield - April 1982 |
| Neural networks for full-scale protein sequence classification: sequence encoding with singular value decomposition - Cathy Wu, Michael Berry, Sailaja Shivakumar and Jerry McLarty - 1995 |
| Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition - Cathy Wu, Michael Berry and Sailaja Shivakumar - 1995 |
| Neural Networks in Mathematica - J. A. Freeman - November 1992 |
| Neural networks, principle components, and subspaces - E. Oja - 1989 |
| Neurocomputing: Foundations of Research - J. A. Anderson and E. Rosenfeld - 1988 |
| Neurogammon: A Neural-Network Backgammon Program - G. Tesauro - March 1990 |
| A Neuroidal Model for Cognitive Functions - L. Valiant - 1994 |
| A new algorithm for automatic configuration of hidden Markov models - M. Iwayama, N. Indurkhya and H. Motoda - 1993 |
| A New Approach to Unsupervised Learning in Deterministic Environments - R. L. Rivest and R. E. Schapire - June 1987 |
| A New Approach to Unsupervised Learning in Deterministic Environments reprint - R. L. Rivest and R. E. Schapire - 1990 |
| A new heuristic for inferring regular grammars - S. Y. Itoga - 1981 |
| A new method for predicting protein secondary structures based on stochastic tree grammars - Naoki Abe and Hiroshi Mamitsuka - 1994 |
| A New Model for Inductive Inference - R. L. Rivest and R. Sloan - March 1988 |
| New Theoretical Directions in Machine Learning - D. Haussler - 1988 |
| A new view of the EM algorithm that justifies incremental and other variants - R. M. Neal and G. E. Hinton - 1993 |
| News and Notes - Thomas G. Dietterich, Nicholas S. Flann and David C. Wilkins - 1986 |
| News and Notes - Yves Kodratoff, Gheorghes Tecuci and Thomas G. Dietterich - 1986 |
| News and Notes - T. G. Dietterich - 1987 |
| News and Notes first of 86 - Thomas G. Dietterich - 1986 |
| News and Notes first of 87 - T. G. Dietterich - 1987 |
| News and Notes first of 88 - T. G. Dietterich - 1988 |
| News and Notes first of 89 - Thomas G. Dietterich - 1989 |
| News and Notes second of 87 - T. G. Dietterich - 1987 |
| News and Notes second of 88 - T. G. Dietterich - 1988 |
| News and Notes second of 89 - T. G. Dietterich - 1989 |
| NewsWeeder: learning to filter netnews - Ken Lang - 1995 |
| N-Learners Problem: Fusion of Concepts - N. S. V. Rao, E. M. Oblow, C. W. Glover and G. E. Liepins - September 1991 |
| A noise model on learning sets of strings - Y. Sakakibara and R. Siromoney - 1992 |
| Noise-Tolerant Distribution-Free Learning of General Geometric Concepts - Bshouty, Goldman, Mathias, Suri and Tamaki - 1996 |
| Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees - Yasubumi Sakakibara - 1993 |
| Noise-tolerant parallel learning of geometric concepts - Nader H. Bshouty, Sally A. Goldman and David H. Mathias - 1995 |
| Noisy inference and oracles - Frank Stephan - 1995 |
| Non mean square error criteria for the training of learning machines - Marco Saerens - 1996 |
| A Non-Iterative Maximum Entropy Algorithm - S. A. Goldman and R. L. Rivest - 1988 |
| Non-learnable classes of Boolean formulae that are closed under variable permutation - H. Shvaytser - 1988 |
| Non-linear decision trees - NDT - Andreas Ittner and Michael Schlosser - 1996 |
| Nonparametric statistical methods for experimental evaluations of speedup learning - Geoffrey J. Gordon and Alberto Maria Segre - 1996 |
| Nonuniform Learnability - G. M. Benedek and A. Itai - July 1988 |
| Note on a Central Lemma of Learning Theory - D. Osherson, M. Stob and S. Weinstein - 1983 |
| A Note on Formal Learning Theory - D. Osherson and S. Weinstein - 1982 |
| A note on inductive generalization - G. D. Plotkin - 1970 |
| A note on learning DNF formulas using equivalence and incomplete membership queries - Z. Chen - 1994 |
| A note on learning multivariate polynomials under the uniform distribution - Nader H. Bshouty - 1995 |
| A note on Limit Identification of c-minimal Indices - E. B. Kinber - 1983 |
| A Note on Polynomial-Time Inference of k-Variable Pattern Language - S. Lange - 1990 |
| A note on the k-tail method of tree grammar inference - J. M. Brayer and K. S. Fu - 1977 |
| A note on the number of queries needed to identify regular languages - D. Angluin - 1982 |
| A note on the Pattern-finding Problem - C. Hua and K. Ko - 1984 |
| A note on the query complexity of learning DFA - J. L. Balcázar, J. Díaz, R. Gavaldà and O. Watanabe - 1992 |
| A Note on the self-consistency definitions of generalization and inductive inference - Kramer - 1962 |
| A note on the use of probabilities by mechanical learners - Eric Martin and Daniel Osherson - 1995 |
| A note on VC-dimension and measure of sets of reals - Shai Ben-David and Leonid Gurvits - 1995 |
| Notes on the PAC learning of geometric concepts with additional information - K. Kakihara and H. Imai - 1992 |
| Not-So-Nearly-Minimal-Size Program Inference - J. Case, S. Mandayam and S. Jain - October 1993 |