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» Evolutionary multiobjective optimization
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JACM
2006
99views more  JACM 2006»
13 years 9 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
JCB
2006
107views more  JCB 2006»
13 years 9 months ago
Maximum Likelihood Molecular Clock Comb: Analytic Solutions
Maximum likelihood (ML) is increasingly used as an optimality criterion for selecting evolutionary trees, but finding the global optimum is a hard computational task. Because no g...
Benny Chor, Amit Khetan, Sagi Snir
BMCBI
2005
158views more  BMCBI 2005»
13 years 9 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
MANSCI
2007
90views more  MANSCI 2007»
13 years 9 months ago
Selecting a Selection Procedure
Selection procedures are used in a variety of applications to select the best of a finite set of alternatives. ‘Best’ is defined with respect to the largest mean, but the me...
Jürgen Branke, Stephen E. Chick, Christian Sc...
CCR
2004
157views more  CCR 2004»
13 years 9 months ago
Designing BGP-based outbound traffic engineering techniques for stub ASes
Today, most multi-connected autonomous systems (AS) need to control the flow of their interdomain traffic for both performance and economical reasons. This is usually done by manu...
Steve Uhlig, Olivier Bonaventure