SearchTitlesCreatorsDatesPhrases

1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
1984open this document and view contents A General Selection Criterion for Inductive Inference - M. P. Georgeff and C. S. Wallace
open this document and view contents Über Eingabeabhängigkeit und Komplexität von Inferenzstrategien. - G. Schäfer-Richter
open this document and view contents Mixture densities, maximum likelihood, and the EM algorithm - R. A. Redner and H. F. Walker
open this document and view contents Learning Theory and Natural Language - D. N. Osherson, M. Stob and S. Weinstein
open this document and view contents Inference of skeletal automata - L. Fass
open this document and view contents Connections between Identifying Functionals, Standardizing Operations, and Computable Numberings - R. Freivalds, E. B. Kinber and R. Wiehagen
open this document and view contents Editing by example - R. Nix
open this document and view contents Polynomial-time inference of general pattern languages - K. P. Jantke
open this document and view contents Models of Language Acquisition - D. Osherson and S. Weinstein
open this document and view contents Consistent Inference of Probabilities for Reproducible Experiments - Y. Tikochinsky, N. Z. Tishby and R. D. Levine
open this document and view contents On the Nonboundability of total effective operators - T. Zeugmann
open this document and view contents Deductive learning - L. Valiant
open this document and view contents On the Power of Probabilistic Strategies in Inductive Inference - R. Wiehagen, R. Freivalds and E. B. Kinber
open this document and view contents Jeffrey's Rule and the Problem of Autonomous Inference Agents - J. Pearl
open this document and view contents A note on the Pattern-finding Problem - C. Hua and K. Ko
open this document and view contents Classification and Regression Trees - L. Breiman, J. H. Friedman, R. A. Olshen and C. J. Stone
open this document and view contents Linear and Nonlinear Programming - D. G. Luenberger
open this document and view contents Convergence of Stochastic Processes - D. Pollard
Mayopen this document and view contents Boltzmann Machines: Constraint Satisfaction Networks that Learn - G. E. Hinton, T. J. Sejnowski and D. H. Ackley
Augustopen this document and view contents Learning About Systems That Contain State Variables - T. G. Dietterich
open this document and view contents Towards Chunking as a General Learning Mechanism - J. Laird, P. Rosenbloom and A. Newell
Novemberopen this document and view contents A Theory of the Learnable - L. G. Valiant
Decemberopen this document and view contents Learning of Expert Systems from Data - P. C. Cheeseman