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ICML
2010
IEEE
13 years 10 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,...
CORR
2007
Springer
90views Education» more  CORR 2007»
13 years 9 months ago
Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
Data from spectrophotometers form vectors of a large number of exploitable variables. Building quantitative models using these variables most often requires using a smaller set of...
Fabrice Rossi, Amaury Lendasse, Damien Franç...
CIKM
2007
Springer
14 years 3 months ago
Generalizing from relevance feedback using named entity wildcards
Traditional adaptive filtering systems learn the user’s interests in a rather simple way – words from relevant documents are favored in the query model, while words from irre...
Abhimanyu Lad, Yiming Yang
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 6 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
TMC
2012
11 years 11 months ago
Modeling and Performance Evaluation of Backoff Misbehaving Nodes in CSMA/CA Networks
—Backoff misbehavior, in which a wireless node deliberately manipulates its backoff time, can induce significant network problems, such as severe unfairness and denial-of-servic...
Zhuo Lu, Wenye Wang, Cliff Wang