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117
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ICPR
2010
IEEE
15 years 7 months ago
2010
IEEE
Appropriate feature selection is a very crucial issue in any machine learning framework, specially in Maximum Entropy (ME). In this paper, the selection of appropriate features for...
117
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AAAI
2008
15 years 6 months ago
2008
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
118
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AAAI
2007
15 years 6 months ago
2007
In this paper we improve previous work on measuring the similarity of short segments of text in two ways. First, we introduce a Web-relevance similarity measure and demonstrate it...
118
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AAAI
2007
15 years 6 months ago
2007
Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
149
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ECAI
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. In this paper, we show that the optimization of density forecasting models for regression in machine learning can be formulated as a multi-objective problem. We describe ...