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189
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
170
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
196
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PODS
2007
ACM
16 years 6 months ago
2007
ACM
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...
182
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CIKM
2009
Springer
16 years 1 months ago
2009
Springer
This paper presents a study of a novel summarization problem called contrastive opinion summarization (COS). Given two sets of positively and negatively opinionated sentences whic...
169
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CEC
2007
IEEE
16 years 26 days ago
2007
IEEE
— Within the present paper, we put forward a novel hybridization between support vector machines and evolutionary algorithms. Evolutionary support vector machines consider the cl...