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» Learning with the Set Covering Machine
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129
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ICML
1999
IEEE
16 years 1 months ago
AdaCost: Misclassification Cost-Sensitive Boosting
AdaCost, a variant of AdaBoost, is a misclassification cost-sensitive boosting method. It uses the cost of misclassifications to update the training distribution on successive boo...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang, Philip...
ICML
1996
IEEE
16 years 1 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami
59
Voted
ALT
2005
Springer
15 years 9 months ago
Mixture of Vector Experts
Abstract. We describe and analyze an algorithm for predicting a sequence of n-dimensional binary vectors based on a set of experts making vector predictions in [0, 1]n . We measure...
Matthew Henderson, John Shawe-Taylor, Janez Zerovn...
84
Voted
EDUTAINMENT
2009
Springer
15 years 7 months ago
Matchmaker: Interpersonal Touch in Gaming
Acts of interpersonal touch – a touch shared between two people – are used by couples to communicate in a simple and emotionally intimate way. In this paper, we argue that the ...
Cody Watts, Ehud Sharlin, Peter Woytiuk
ICTAI
2008
IEEE
15 years 7 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty