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» Neighborhood structures for genetic local search algorithms
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CEC
2007
IEEE
14 years 11 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
89
Voted
ICPR
2008
IEEE
15 years 4 months ago
Semi-supervised marginal discriminant analysis based on QR decomposition
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
Rui Xiao, Pengfei Shi
ENGL
2008
81views more  ENGL 2008»
14 years 9 months ago
GA-based Optimization of Sigma-delta Modulators for Wireless Transceivers
Abstract--Over-sampling sigma-delta analog-todigital converters (ADCs) are one of the key building blocks of state of the art wireless transceivers. In sigma-delta modulator design...
Babita R. Jose, P. Mythili, Jimson Mathew
CIKM
2011
Springer
13 years 9 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
BMCBI
2006
135views more  BMCBI 2006»
14 years 9 months ago
iHAP - integrated haplotype analysis pipeline for characterizing the haplotype structure of genes
Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disea...
Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuch...