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Computational learning theory
Known as:
Learning theory
In computer science, computational learning theory (or just learning theory) is a subfield of Artificial Intelligence devoted to studying the design…
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46 relations
Alexey Chervonenkis
Algorithmic inference
Algorithmic learning theory
Artificial intelligence
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Broader (2)
Machine learning
Theoretical computer science
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Efficient Bayesian methods for clustering.
K. Heller
2008
Corpus ID: 392682
One of the most important goals of unsupervised learning is to discover meaningful clusters in data. Clustering algorithms strive…
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2007
2007
On the complexity of working set selection
H. Simon
Theoretical Computer Science
2007
Corpus ID: 6167643
2001
2001
Efficient algorithms in computational learning theory
L. Valiant
,
R. Servedio
2001
Corpus ID: 116474699
This thesis presents new positive and negative results in the theory of machine learning. We give efficient algorithms for…
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1999
1999
Evolvable hardware or learning hardware? induction of state machines from temporal logic constraints
M. Perkowski
,
A. Mishchenko
,
A. N. Chebotarev
Proceedings of the First NASA/DoD Workshop on…
1999
Corpus ID: 2750594
We advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The…
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1996
1996
Construction of class regions by a randomized algorithm: a randomized subclass method
Mineichi Kudo
,
S. Yanagi
,
M. Shimbo
Pattern Recognition
1996
Corpus ID: 34481097
1996
1996
Computational Learning and Probabilistic Reasoning
A. Gammerman
1996
Corpus ID: 62227316
From the Publisher: This book is devoted to two interrelated techniques in solving some important problems in machine…
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Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Radford M. Neal
1995
Corpus ID: 60809283
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions…
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1990
1990
A connectionist learning algorithm with provable generalization and scaling bounds
S. I. Gallant
Neural Networks
1990
Corpus ID: 27946568
Review
1989
Review
1989
Towards Representation Independence in PAC Learning
Manfred K. Warmuth
Analogical and Inductive Inference
1989
Corpus ID: 13185552
In the recent development of various models of learning inspired by the PAC learning model (introduced by Valiant) there has been…
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1989
1989
Computational learning theory: new models and algorithms
R. Sloan
1989
Corpus ID: 18281660
In the past several years, there has been a surge of interest in computational learning theory-the formal (as opposed to…
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