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» Feature Selection from Huge Feature Sets
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KDD
2002
ACM
106views Data Mining» more  KDD 2002»
16 years 7 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
ETRA
2010
ACM
197views Biometrics» more  ETRA 2010»
16 years 1 months ago
Image ranking with implicit feedback from eye movements
In order to help users navigate an image search system, one could provide explicit information on a small set of images as to which of them are relevant or not to their task. Thes...
David R. Hardoon, Kitsuchart Pasupa
EOR
2011
140views more  EOR 2011»
14 years 10 months ago
Compact bidding languages and supplier selection for markets with economies of scale and scope
Combinatorial auctions have been used in procurement markets with economies of scope. Preference elicitation is already a problem in single-unit combinatorial auctions, but it bec...
Martin Bichler, Stefan Schneider, Kemal Guler, Meh...
XIMEP
2005
ACM
155views Database» more  XIMEP 2005»
16 years 12 days ago
Deep Set Operators for XQuery
There are three set operators defined in XQuery, namely union, intersect and except. They take node sequences as operands, in which each node is identified by its node-ID and tr...
Bo Luo, Dongwon Lee, Wang-Chien Lee, Peng Liu
CW
2008
IEEE
16 years 1 months ago
Real-Time Marker Level Set on GPU
Level set methods have been extensively used to track the dynamical interfaces between different materials for physically based simulation, geometry modeling, oceanic modeling and...
Xing Mei, Philippe Decaudin, Bao-Gang Hu, Xiaopeng...