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… (More)
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Highly Cited
2006
Highly Cited
2006
We show how to use complementary priors to eliminate the explaining-away effects that make inference difficult in densely… (More)
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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… (More)
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2003
2003
In the coming post IT era, the problems of signal extraction and knowledge discovery from huge data sets will become very… (More)
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2002
2002
Learning theoretic aspects of mathematics and logic have been studied by many authors. They study how mathematical and logical… (More)
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Highly Cited
2001
Highly Cited
2001
The Gradual Learning Algorithm (Boersma 1997) is a constraint-ranking algorithm for learning optimality-theoretic grammars. The… (More)
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2000
2000
A sequential sampling algorithm or adaptive sampling algorithm is a sampling algorithm that obtains instances sequentially one by… (More)
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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… (More)
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1999
1999
Designing the representation languages for the input and output of a learning algorithm is the hardest task within machine… (More)
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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… (More)
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1994
1994
We present two phenomena which were discovered in pure recursion-theoretic inductive inference, namely inconsistent learning… (More)
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