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ALMOB
2006
80views more  ALMOB 2006»
15 years 6 months ago
Effective p-value computations using Finite Markov Chain Imbedding (FMCI): application to local score and to pattern statistics
The technique of Finite Markov Chain Imbedding (FMCI) is a classical approach to complex combinatorial problems related to sequences. In order to get efficient algorithms, it is k...
Grégory Nuel
JDCTA
2010
135views more  JDCTA 2010»
15 years 1 months ago
Signal Framing Methods of Automotive Embedded Networked Control System for Bandwidth Consumption Optimization
Parameter (or variable) of automotive embedded networked control system is named as signal. In order to improve system performance and provide more remaining bandwidth for system ...
Jian Hu, Gangyan Li, Yeqiong Song
APPROX
2008
Springer
89views Algorithms» more  APPROX 2008»
15 years 8 months ago
Santa Claus Meets Hypergraph Matchings
We consider the problem of max-min fair allocation of indivisible goods. Our focus will be on the restricted version of the problem in which there are m items, each of which assoc...
Arash Asadpour, Uriel Feige, Amin Saberi
STOC
2007
ACM
83views Algorithms» more  STOC 2007»
16 years 7 months ago
Lattices that admit logarithmic worst-case to average-case connection factors
We demonstrate an average-case problem that is as hard as finding (n)-approximate shortest vectors in certain n-dimensional lattices in the worst case, where (n) = O( log n). The...
Chris Peikert, Alon Rosen
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 11 days ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...