1983open this document and view contentsOn the error correcting power of pluralism in BC-type inductive inference - R. Daley
open this document and view contentsFormal Learning theory - D. Osherson and S. Weinstein
open this document and view contentsAlgorithmic Program Debugging - E. Y. Shapiro
open this document and view contentsOn the Synthesis of Fastest Programs in Inductive Inference - T. Zeugmann
open this document and view contentsInferno: A Cautious Approach to Uncertain Inference - J. R. Quinlan
open this document and view contentsWhy Should Machines Learn? - H. A. Simon
open this document and view contentsA Universal Prior for Integers and Estimation by Minimum Description Length - J. Rissanen
open this document and view contentsZur algorithmischen Synthese von schnellen Programmen - T. Zeugmann
open this document and view contentsSolution to inductive inference problem P3 - J. Case and M. Fulk
open this document and view contentsA-posteriori Characterizations in Inductive Inference of Recursive Functions - T. Zeugmann
open this document and view contentsA note on Limit Identification of c-minimal Indices - E. B. Kinber
open this document and view contentsMachine Learning: An Artificial Intelligence Approach 1 - R. S. Michalski and J. G. Carbonell and T. M. Mitchell
open this document and view contentsDensité et Dimension - P. Assouad
open this document and view contentsA Boolean Complete Neural Model of Adaptive Behavior - S. Hampson and D. Kibler
open this document and view contentsComparison of Identification Criteria for Machine Inductive Inference - J. Case and C. Smith
open this document and view contentsMachine Learning - R C. J. Michalski and T. Mitchell
open this document and view contentsEditing By Example Ph.D Thesis - R. Nix
open this document and view contentsEnvironments for Learning - D. Osherson, M. Stob and S. Weinstein
open this document and view contentsCONVINCE: A Conversational Inference Consolidation Engine - J. H. Kim
open this document and view contentsNote on a Central Lemma of Learning Theory - D. Osherson, M. Stob and S. Weinstein
Aprilopen this document and view contentsAn Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech Recognition - S. E. Levinson, L. R. Rabiner and M. M. Sondhi
open this document and view contentsOn the Application of Vector Quantization and Hidden Markov Models to Speaker-Independent, Isolated Word Recognition - L. R. Rabiner, S. E. Levinson and M. M. Sondhi
Juneopen this document and view contentsInductive Rule Generation in the Context of the Fifth Generation - D. Michie
Augustopen this document and view contentsA Method of Computing Generalized Bayesian Probability Values for Expert Systems - P. C. Cheeseman
Septemberopen this document and view contentsA survey of Inductive Inference: Theory and Methods - D. Angluin and C. H. Smith