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ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
14 years 3 months 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
ANTSW
2010
Springer
13 years 4 months ago
A Deterministic Metaheuristic Approach Using "Logistic Ants" for Combinatorial Optimization
Abstract. Ant algorithms are usually derived from a stochastic modeling based on some specific probability laws. We consider in this paper a full deterministic model of "logis...
Rodolphe Charrier, Christine Bourjot, Franç...
ICMAS
2000
13 years 10 months ago
Integer Programming for Combinatorial Auction Winner Determination
Combinatorial auctions are important as they enable bidders to place bids on combinations of items; compared to other auction mechanisms, they often increase the efficiency of the...
Arne Andersson, Mattias Tenhunen, Fredrik Ygge
SOFSEM
2000
Springer
14 years 16 days ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
RECOMB
2005
Springer
14 years 9 months ago
Combinatorial Genetic Regulatory Network Analysis Tools for High Throughput Transcriptomic Data
: A series of genome-scale algorithms and high-performance implementations is described and shown to be useful in the genetic analysis of gene transcription. With them it is possib...
Elissa J. Chesler, Michael A. Langston