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ICML
2010
IEEE
15 years 8 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»
15 years 6 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
16 years 1 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»
15 years 4 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
13 years 9 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