 | Abe, N. |
 | Abe, Naoki |
 | Abu-Mostafa, Y. S. -- The Vapnik-Chervonenkis Dimension: Information verses Complexity in Learning - 1989 |
 | Ackley, D. H. |
 | Adams, R. T. -- Inference of LISP Programs from Examples - June 1990 |
 | Adleman, L. |
 | Adé, Hilde -- Declarative Bias for Specific-to-General ILP Systems - 1995 |
 | Aha, David W. |
 | Ahmad, S. -- A Study of Scaling and Generalization in Neural Networks - September 1988 |
 | Ahmad, Subutai -- Representing Probabilistic Rules with Networks of Gaussian Basis Functions - 1997 |
 | Aiello, W. -- Learning the fourier spectrum of probabilistic lists and trees - January 1991 |
 | Aizenstein, H. |
 | Aizenstein, Howard -- On The Learnability Of Disjunctive Normal Form Formulas - 1995 |
 | Akaho, S. -- Regularization learning of neural networks for generalization - 1992 |
 | Akiba, S. -- Inductive resolution - 1993 |
 | Akiba, Yasuhiro -- On handling tree-structured attributes in decision tree learning - 1995 |
 | Akutsu, T. -- On PAC learnability of functional dependencies - 1992 |
 | Albert, Marc K. -- Instance-Based Learning Algorithms - 1991 |
 | Aldous, D. -- A Markovian extension of Valiant’s learning model - 1990 |
 | Ali, Kamal -- Reducing misclassification costs - 1994 |
 | Ali, Kamal M. -- Error Reduction through Learning Multiple Descriptions - 1996 |
 | Allan, J. -- The effect of adding relevance information in a relevance feedback environment - 1994 |
 | Allen, R. B. -- Performance of a Stochastic Learning Chip - 1989 |
 | Almuallim, Hussein -- On handling tree-structured attributes in decision tree learning - 1995 |
 | Alon, Noga |
 | Alspector, J. -- Performance of a Stochastic Learning Chip - 1989 |
 | Amakawa, K. -- Self-learning reaching motion of a multi-joint arm using a trial-and-error heuristic and a neural network - 1991 |
 | Amari, S. |
 | Ambainis, Andris |
 | Ambainis, A. -- Enumerable classes of total recursive functions: complexity of inductive inference - 1994 |
 | Ameur, F. -- Trial and Error: a New Approach to Space-bounded Learning - 1994 |
 | Ameur, Foued -- A space-bounded learning algorithm for axis-parallel rectangles - 1995 |
 | Amsterdam, J. |
 | Anderson, J. R. -- A Mean Field Theory Learning Algorithm for Neural Networks - 1987 |
 | Anderson, John R. -- Explorations of an Incremental, Bayesian Algorithm for Categorization - 1992 |
 | Andreae, P. M. -- Justified Generalization: Acquiring Procedures from Examples - January 1985 |
 | Angluin, D. |
 | Angluin, Dana |
 | Anoulova, S. |
 | Anthony, M. |
 | Anthony, Martin |
 | Antos, András -- Strong minimax lower bounds for learning - 1996 |
 | Apsitis, K. |
 | Apsītis, Kalvis |
 | Apsītis, K. -- Derived sets and inductive inference - 1994 |
 | Ar, S. -- Reconstructing algebraic functions from mixed data - 1992 |
 | Arapostathis, A. -- Analysis of an Identification Algorithm Arising in the Adaptive Estimation of Markov Chains - 1990 |
 | Arie, Ben-David -- Research Note: Classification accuracy: machine learning vs. explicit knowledge acquisition - 1995 |
 | Arikawa, S. |
 | Arima, J. |
 | Arimura, H. |
 | Arimura, Hiroki -- Learning unions of tree patterns using queries - 1995 |
 | Arnold, O. -- Therapy plan generation as program synthesis - 1994 |
 | Aronis, John M. -- Scaling Up Inductive Learning with Massive Parallelism - 1996 |
 | Aronson, A. R. -- Grammatical inference by hill-climbing - 1976 |
 | Asada, Minoru -- Purposive Behavior Acquisition for a Real Robot by Vision-Based Reinforcement Learning - 1996 |
 | Asker, Lars |
 | Aslam, J. A. |
 | Aslam, Javed A. |
 | Assouad, P. -- Densité et Dimension - 1983 |
 | Atkeson, Christopher G. |
 | Atkeson, C. G. -- Learning Arm Kinematics and Dynamics - 1989 |
 | Atlas, Les -- Improving generalization with active learning - 1994 |
 | Auer, P. |
 | Auer, Peter |
 | Authorless, |
 | Awerbuch, Baruch -- Piecemeal graph exploration by a mobile robot - 1995 |
 | Aynur Akku, s -- K nearest neighbor classification on feature projections - 1996 |