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185
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ESWS
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In this paper we describe a methodology for harvesting information from large distributed repositories (e.g. large Web sites) with minimum user intervention. The methodol...
195
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
169
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FLAIRS
2004
15 years 7 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
136
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
191
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AAAI
1993
15 years 7 months ago
1993
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...