A B C D E F G H I J-K L M N O P Q-R S T U V W-Z
View the documentUber Eine Eigenschaft Limitar Berech Eubarer Funktionale - J. M. Barzdin - 1974
View the documentUber Eingabeabhangigkeit und Komplexitat von Inferenzstrategien. - G. Schäfer-Richter - 1984
View the documentUnderstanding the Nature of Learning: Issues and Research Directions - R. M. Michalski - 1986
View the documentA unified approach to inductive logic and case-based reasoning - M. M. Richter - 1994
View the documentUniform and Non Uniform Predictability - R. Freivalds - 1974
View the documentUniform characterizations of various kinds of language learning - S. Kapur - 1993
View the documentA Unifying Approach to Monotonic Language Learning on Informant - S. Lange and T. Zeugmann - 1992
View the documentUnifying learning methods by colored digraphs - K. Yoshida, H. Motoda and N. Indurkhya - 1993
View the documentUniversal Approximation of an Unknown Mapping and Its Derivatives Using Multilayer Feedforward Networks - K. Hornik, M. Stinchcombe and H. White - 1990
View the documentUniversal forecasting algorithms - V. Vovk - 1992
View the documentUniversal Goal Seekers - E. M. Gold - 1971
View the documentA Universal Method of Scientific Inquiry - Daniel N. Osherson, Michael Stob and Scott Weinstein - 1992
View the documentUniversal Portfolios - T. M. Cover - 1991
View the documentUniversal portfolios with and without transaction costs - Avrim Blum and Adam Kalai - 1997
View the documentUniversal Prediction of Individual Sequences - M. Feder, N. Merhav and M. Gutman - 1992
View the documentA Universal Prior for Integers and Estimation by Minimum Description Length - J. Rissanen - 1983
View the documentUniversal sequential learning and decisions from individual data sequences - N. Merhav and M. Feder - 1992
View the documentUnivresal sequential Coding of Single Messages - Y. M. Shtarkov - 1987
View the documentUnsupervised learning of distributions on binary vectors using two layer networks - Y. Freund and D. Haussler - 1991
View the documentUnsupervised learning of multiple motifs in biopolymers using expectation maximization - Timothy L. Bailey and Charles Elkan - 1995
View the documentUnsupervised learning using MML - Jonathan J. Oliver, Rohan A. Baxter and Chris S. Wallace - 1996
View the documentUnterklassen in der familie NUM aller effektiv numerierbaren mengen von eistelligen allgemein rekursiven funktionen - R. Klette - 1975
View the documentAn Upper Bound on the Loss from Approximate Optimal-Value Functions - Satinder P. Singh and Richard C. Yee - 1994
View the documentThe use of abstract primitives in representing the meaning of Verbs for understanding metaphors - M. Suwa and H. Motoda - 1992
View the documentUse of Adaptive Networks to Define Highly Predictable Protein Secondary-Structure Classes - Alan S. Lapedes, Evan W. Steeg and Robert M. Farber - 1995
View the documentThe Use of Artificial Neural Networks for Phonetic Recognition - H. C. Leung - May 1989
View the documentThe Use of Background Knowledge in Decision Tree Induction - Marlon Nú\~nez - 1991
View the documentThe use of grammatical inference for designing programming languages - S M. M. A. Crespi-Reghizzi and L. Lichten - 1973
View the documentUse of reduction arguments in determining Popperian FIN-type learning capabilities - R. Daley and B. Kalyanasundaram - 1993
View the documentThe use of tree derivatives and a sample support parameter for inferring tree systems - B. Levine - 1982
View the documentUsing Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families - M. P. Brown, R. Hughey, A. Krogh, I. S. Mian, K. Sjölander and D. Haussler - July 1993
View the documentUsing Experts for Predicting Continuous Outcomes - J. Kivinen and M. Warmuth - 1994
View the documentUsing Genetic Algorithms for Concept Learning - Kenneth A. De Jong, William M. Spears and Diana F. Gordon - 1993
View the documentUsing genetic search to refine knowledge-based neural networks - David W. Opitz and Jude W. Shavlik - 1994
View the documentUsing Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding - Richard Maclin and Jude W. Shavlik - 1993
View the documentUsing Kullback-Leibler Divergence in Learning Theory - S. Anoulova and S. Pölt - 1994
View the documentUsing multidimensional projection to find relations - Eduardo Pérez and Larry A. Rendell - 1995
View the documentUsing neural networks to modularize software - Robert W. Schwanke and Stephen Joseé Hanson - 1994
View the documentUsing optimal dependency-trees for combinatorial optimization: Learning the structure of the search space - Shumeet Baluja and Scott Davies - 1997
View the documentUsing output codes to boost multiclass learning problems - Robert E. Schapire - 1997
View the documentUsing queries to identify -formulas - D. Angluin - 1989
View the documentUsing sampling and queries to extract rules from trained neural networks - Mark W. Craven and Jude W. Shavlik - 1994
View the documentUsing telltales in developing program test sets - J. Cherniavsky and C. Smith - 1986
View the documentUsing the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs - Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli - 1996
View the documentThe Utility of Knowledge in Inductive Learning - Michael Pazzani and Dennis Kibler - 1992