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» Evolutionary Algorithms for the Satisfiability Problem
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JACM
2006
99views more  JACM 2006»
15 years 4 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
MICCAI
2003
Springer
16 years 5 months ago
Mesh Topology Identification for Mass-Spring Models
In surgical simulations, the two most popular approaches to model soft tissues are Finite Element Method (FEM) and Mass-Spring System (MSS). Main advantages of FEM are accuracy and...
Gábor Székely, Gérald Bianchi...
RECOMB
2007
Springer
16 years 4 months ago
Support Vector Training of Protein Alignment Models
Abstract. Sequence to structure alignment is an important step in homology modeling of protein structures. Incorporation of features like secondary structure, solvent accessibility...
Chun-Nam John Yu, Thorsten Joachims, Ron Elber, Ja...
GECCO
2009
Springer
15 years 10 months ago
The relationship between evolvability and bloat
Bloat is a common problem with Evolutionary Algorithms (EAs) that use variable length representation. By creating unnecessarily large individuals it results in longer EA runtimes ...
Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jo...
ISBRA
2010
Springer
15 years 10 months ago
"Master-Slave" Biological Network Alignment
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...