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IPL
2008
78views more  IPL 2008»
15 years 6 months ago
An approximation ratio for biclustering
The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters ...
Kai Puolamäki, Sami Hanhijärvi, Gemma C....
TCBB
2010
166views more  TCBB 2010»
15 years 4 months ago
Approximate Maximum Parsimony and Ancestral Maximum Likelihood
— We explore the maximum parsimony (MP) and ancestral maximum likelihood (AML) criteria in phylogenetic tree reconstruction. Both problems are NP hard, so we seek approximate sol...
Noga Alon, Benny Chor, Fabio Pardi, Anat Rapoport
CVPR
2006
IEEE
16 years 8 months ago
Equivalence of Non-Iterative Algorithms for Simultaneous Low Rank Approximations of Matrices
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those a...
Kohei Inoue, Kiichi Urahama
WEA
2007
Springer
108views Algorithms» more  WEA 2007»
16 years 16 days ago
Engineering Algorithms for Approximate Weighted Matching
We present a systematic study of approximation algorithms for the maximum weight matching problem. This includes a new algorithm which provides the simple greedy method with a rece...
Jens Maue, Peter Sanders
TACAS
2010
Springer
251views Algorithms» more  TACAS 2010»
15 years 11 months ago
Approximating the Pareto Front of Multi-criteria Optimization Problems
We propose a general methodology for approximating the Pareto front of multi-criteria optimization problems. Our search-based methodology consists of submitting queries to a constr...
Julien Legriel, Colas Le Guernic, Scott Cotton, Od...