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» Hybrid Optimizations: Which Optimization Algorithm to Use
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IFIP12
2008
15 years 4 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
131
Voted
ICCAD
2001
IEEE
152views Hardware» more  ICCAD 2001»
16 years 10 days ago
Hybrid Structured Clock Network Construction
This paper hierarchically constructs a hybrid mesh/tree clock network structure consisting of overlying zero-skew clock meshes, with underlying zero-skew clock trees originating f...
Haihua Su, Sachin S. Sapatnekar
143
Voted
ICMCS
2008
IEEE
191views Multimedia» more  ICMCS 2008»
15 years 10 months ago
Hybrid spatial and temporal error concealment for distributed video coding
Distributed Video Coding (DVC) is based on a new paradigm in coding, which has received many interests recently. This paper proposes a hybrid spatial and temporal error concealmen...
Shuiming Ye, Mourad Ouaret, Frédéric...
114
Voted
EOR
2007
133views more  EOR 2007»
15 years 3 months ago
Using genetic algorithm for dynamic and multiple criteria web-site optimizations
In today’s competitive electronic marketplace, companies try to create long-lasting relations with their online customers. Log files and registration forms generate millions of...
Arben Asllani, Alireza Lari
IPPS
1997
IEEE
15 years 7 months ago
Control Schemes in a Generalized Utility for Parallel Branch-and-Bound Algorithms
Branch-and-bound algorithms are general methods applicable to various combinatorial optimization problems and parallelization is one of the most hopeful methods to improve these a...
Yuji Shinano, Kenichi Harada, Ryuichi Hirabayashi