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Algorithmic learning theory

Known as: Learning theory 
Algorithmic learning theory is a mathematical framework for analyzing machine learning problems and algorithms. Synonyms include formal learning… Expand
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Papers overview

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Highly Cited
2013
Highly Cited
2013
The synthesis-based sparse representation model for signals has drawn considerable interest in the past decade. Such a model… Expand
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Highly Cited
2008
Highly Cited
2008
We present an agnostic active learning algorithm for any hypothesis class of bounded VC dimension under arbitrary data… Expand
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Highly Cited
2006
Highly Cited
2006
1. Types and Programming Languages by Benjamin C. Pierce. This is a book about implementing type systems in programming languages… Expand
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Highly Cited
2004
Highly Cited
2004
Abstract Fuzzy cognitive map is a soft computing technique for modeling systems, which combines synergistically the theories of… Expand
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Highly Cited
1999
Highly Cited
1999
The application of boosting procedures to decision tree algorithms has been shown to produce very accurate classi ers. These… Expand
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Highly Cited
1998
Highly Cited
1998
In this paper, we consider the question of determining whether a function <italic>f</italic> has property P or is ε-far from any… Expand
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Highly Cited
1998
Highly Cited
1998
In this paper we study a dual version of the Ridge Regression procedure. It allows us to perform non-linear regression by… Expand
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Highly Cited
1995
Highly Cited
1995
Learning methods based on dynamic programming (DP) are receiving increasing attention in artificial intelligence. Researchers… Expand
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Highly Cited
1994
Highly Cited
1994
Increasing attention has been paid to reinforcement learning algorithms in recent years, partly due to successes in the… Expand
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Highly Cited
1990
Highly Cited
1990
Abstract We present an algorithm for improving the accuracy of algorithms for learning binary concepts. The improvement is… Expand
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