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Learnability

In a labor market increasingly dictated by skills, individuals need to develop and demonstrate learnability — the desire and ability to quickly grow… Expand
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Papers overview

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Highly Cited
2010
Highly Cited
2010
The problem of characterizing learnability is the most basic question of statistical learning theory. A fundamental and long… Expand
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Highly Cited
2005
Highly Cited
2005
This paper addresses the problem of improving the accuracy of an hypothesis output by a learning algorithm in the distribution… Expand
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Highly Cited
2003
Highly Cited
2003
We explore the learnability of two-valued functions from samples using the paradigm of Data Compression. A first algorithm… Expand
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Highly Cited
2000
Highly Cited
2000
Output coding is a general framework for solving multiclass categorization problems. Previous research on output codes has… Expand
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Highly Cited
1997
Highly Cited
1997
Learnability in Valiant's PAC learning model has been shown to be strongly related to the existence of uniform laws of large… Expand
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Highly Cited
1994
Highly Cited
1994
This paper will focus on the semantic representation of verbs in computer systems and its impact on lexical selection problems in… Expand
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Highly Cited
1993
Highly Cited
1993
In this paper, Boolean functions in ,4C0 are studied using harmonic analysis on the cube. The main result is that an ACO Boolean… Expand
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Highly Cited
1990
Highly Cited
1990
This paper addresses the problem of improving the accuracy of an hypothesis output by a learning algorithm in the distribution… Expand
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Highly Cited
1989
Highly Cited
1989
Valiant's learnability model is extended to learning classes of concepts defined by regions in Euclidean space En. The methods in… Expand
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Highly Cited
1984
Highly Cited
1984
Language learnability and language devlopment revisited the acquisition theory - assumptions and postulates phrase structure… Expand
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