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» Data Mining for Genetics: A Genetic Algorithm Approach
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158
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IJON
2007
114views more  IJON 2007»
15 years 6 months ago
Ridgelet kernel regression
In this paper, a ridgelet kernel regression model is proposed for approximation of high dimensional functions. It is based on ridgelet theory, kernel and regularization technology ...
Shuyuan Yang, Min Wang, Licheng Jiao
169
Voted
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
16 years 18 days ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
15 years 4 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
IPPS
2005
IEEE
15 years 11 months ago
A Powerful Direct Mechanism for Optimal WWW Content Replication
This paper addresses the problem of fine-grained data replication in large distributed systems, such as the Internet, so as to minimize the user access delays. With fine-grained d...
Samee Ullah Khan, Ishfaq Ahmad
162
Voted
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 6 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin