Communications of the ACM
Information Processing Letters
Computational limitations on learning from examples
Journal of the ACM (JACM)
A general lower bound on the number of examples needed for learning
Information and Computation
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
From on-line to batch learning
COLT '89 Proceedings of the second annual workshop on Computational learning theory
Cryptographic limitations on learning Boolean formulae and finite automata
Journal of the ACM (JACM)
Unified theories of cognition
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Journal of the ACM (JACM)
A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Artificial Intelligence
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Propositionalization approaches to relational data mining
Relational Data Mining
Learning Logical Definitions from Relations
Machine Learning
Learning Conjunctive Concepts in Structural Domains
Machine Learning
Learning Nonrecursive Definitions of Relations with LINUS
EWSL '91 Proceedings of the European Working Session on Machine Learning
Relational Learning for NLP using Linear Threshold Elements
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Probabilistic Logic and Induction
Journal of Logic and Computation
Relational learning via propositional algorithms: an information extraction case study
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Learning with feature description logics
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Journal of the ACM (JACM)
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Partial observability and learnability
Artificial Intelligence
MFCS'07 Proceedings of the 32nd international conference on Mathematical Foundations of Computer Science
Implicit learning of common sense for reasoning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological backtracking. The second is a recursive method based on assuming that the ...