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157
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CIARP
2006
Springer
15 years 10 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
179
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CIKM
2006
Springer
15 years 10 months ago
2006
Springer
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
147
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DAWAK
2006
Springer
15 years 10 months ago
2006
Springer
This paper describes problem of prediction that is based on direct marketing data coming from Nationwide Products and Services Questionnaire (NPSQ) prepared by Polish division of A...
134
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PPSN
2000
Springer
15 years 10 months ago
2000
Springer
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
158
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FLAIRS
2007
15 years 8 months ago
2007
This paper describes the use of two machine learning techniques, naive Bayes and decision trees, to address the task of assigning function tags to nodes in a syntactic parse tree....