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» On the Approximation of Computing Evolutionary Trees
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IPPS
2006
IEEE
15 years 3 months ago
Phylogenetic models of rate heterogeneity: a high performance computing perspective
Inference of phylogenetic trees using the maximum likelihood (ML) method is NP-hard. Furthermore, the computation of the likelihood function for huge trees of more than 1,000 orga...
Alexandros Stamatakis
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 3 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
INFOCOM
2010
IEEE
14 years 7 months ago
On Computing Compression Trees for Data Collection in Wireless Sensor Networks
We address the problem of efficiently gathering correlated data from a wireless sensor network, with the aim of designing algorithms with provable optimality guarantees, and unders...
Jian Li, Amol Deshpande, Samir Khuller
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
ACL2
2006
ACM
15 years 3 months ago
Phylogenetic trees in ACL2
Biologists studying the evolutionary relationships between organisms use software packages to solve the computational problems they encounter. Several of these problems involve th...
Warren A. Hunt Jr., Serita M. Nelesen