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ICML
2010
IEEE
15 years 7 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 6 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
EOR
2008
70views more  EOR 2008»
15 years 6 months ago
Robust portfolio selection based on a multi-stage scenario tree
The aim of this paper is to apply the concept of robust optimization introduced by Bel-Tal and Nemirovski to the portfolio selection problems based on multi-stage scenario trees. ...
Ruijun Shen, Shuzhong Zhang
CN
2006
85views more  CN 2006»
15 years 6 months ago
An efficient heuristic for selecting active nodes in wireless sensor networks
Energy saving is a paramount concern in wireless sensor networks (WSNs). A strategy for energy saving is to cleverly manage the duty cycle of sensors, by dynamically activating di...
Flávia Coimbra Delicato, Fábio Prott...
PR
2008
99views more  PR 2008»
15 years 6 months ago
Interest point detection using imbalance oriented selection
Interest point detection has a wide range of applications, such as image retrieval and object recognition. Given an image, many previous interest point detectors first assign inte...
Qi Li, Jieping Ye, Chandra Kambhamettu