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» Feature Selection in Clustering Problems
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CVPR
2010
IEEE
14 years 2 months ago
Bayes Optimal Kernel Discriminant Analysis
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
Di You, Aleix Martinez
ICML
2008
IEEE
14 years 11 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
IJHIS
2006
94views more  IJHIS 2006»
13 years 10 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
14 years 3 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
INFOCOM
2000
IEEE
14 years 2 months ago
Max-Min D-Cluster Formation in Wireless Ad Hoc Networks
— An ad hoc network may be logically represented as a set of clusters. The clusterheads form a -hop dominating set. Each node is at most hops from a clusterhead. Clusterheads for...
Alan D. Amis, Ravi Prakash, Dung Huynh, Thai Vuong