 | Jaakkola, Tommi -- Learning without state-estimation in partially observable Markovian decision processes - 1994 |
| Jackel, L. -- Automatic learning, rule extraction and generalization - 1987 |
| Jackel, L. D. -- Boosting and other machine learning algorithms - 1994 |
 | Jackson, J. |
| Jackson, Jeffrey |
| Jackson, J. C. -- Improved learning of AC^0 functions - 1991 |
| Jackson, Jeffrey C. -- Learning DNF over the uniform distribution using a quantum example oracle - 1995 |
| Jacobs, R. A. -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks - March 1990 |
| Jacovi, M. -- On learning in the limit and non-uniform , - learning - 1993 |
| Jain, S. |
| Jain, Sanjay |
| Janikow, Cezary Z. -- A Knowledge-Intensive Genetic Algorithm for Supervised Learning - 1993 |
| Janssens, B. -- Scaling relationships in back-propagation learning - 1988 |
| Jantke, K. |
| Jantke, K. P. |
| Jantke, Klaus P. -- Reflecting and self-confident inductive inference machines - 1995 |
| Jappy, Pascal -- Negative robust learning results for Horn clause programs - 1996 |
| Jensen, David -- The effects of training set size on decision tree complexity - 1997 |
| Jerrum, M. -- Simple translation-invariant concepts are hard to learn - 1991 |
| Jerrum, Mark R. -- Bounding the Vapnik-Chervonenkis dimension of concept classes parametrized by real numbers - 1995 |
| Ji, C. -- The VC-dimension vs. the statistical capacity for two layer networks with binary weights - 1991 |
| Jiang, T. |
| Jiang, Tao -- Lower bound on learning decision lists and trees - 1996 |
| Joachims, Thorsten -- A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization - 1997 |
| Joardan, M. -- Forward models: Supervised learning with a distal teacher - July 1990 |
| Johannes, Frnkranz -- Pruning Algorithms for Rule Learning - 1997 |
| John, George H. |
| Johnson, Hollyn M. -- Case-based learning: predictive features in indexing - 1994 |
| Johnson-Laird, Ben -- Learning collection fusion strategies for information retrieval - 1995 |
| Jones, R. D. |
| Jones, L. K. -- A Simple Lemma on Greedy Approximation in Hilbert Space and Convergence Rates for Projection Pursuit Regression and Neural Network Training - 1990 |
| Jones, Randolph M. -- Acquisition of Children’s Addition Strategies: A Model of Impasse-Free, Knowledge-Level Learning - 1994 |
| Jong, K. D. -- Special Issue on Genetic Algorithms - October 1990 |
| Jong, Kenneth A. De -- Using Genetic Algorithms for Concept Learning - 1993 |
| Jong, Kenneth De -- Learning with Genetic Algorithms: An Overview - 1988 |
| Jongh, Dick de -- Angluin’s theorem for indexed families of r.e. sets and applications - 1996 |
| Jordan, M. I. |
| Jordan, M. A. -- Task decomposition through competition in a modular connectionist architecture: The what and where vision tasks - March 1990 |
| Jordan, Michael I. -- Learning without state-estimation in partially observable Markovian decision processes - 1994 |
| Jouannaud, J. P. |
| Jouannaud, J. P. G. G. -- SISP/1, an interactive system able to synthesize functions from examples - 1977 |
| Juang, B. -- On the Hidden Markov Model and Dynamic Time Warping for Speech Recognition - A Unified View - September 1985 |
| Juang, B. H. -- An Introduction to Hidden Markov Models - January 1986 |
| Judd, J. S. |
| Judd, J. Stephen -- A Reply to Honavar’s Book Review of Neural Network Design and the Complexity of Learning - 1992 |
| Judd, S. -- Learning in neural networks - 1988 |
| Jumarie, G. -- Relative information - 1990 |
| Jung, H. |
| Jurišica, Igor -- A Statistical Approach to Solving the EBL Utility Problem - 1992 |
| Jurka, J. -- Informed parsimonious inference of prototypical genetic sequences - 1989 |
| Jurka, Jerzy -- Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution - 1993 |
| Jrgen, Hollatz -- Representing Probabilistic Rules with Networks of Gaussian Basis Functions - 1997 |