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BMCBI
2006
119views more  BMCBI 2006»
14 years 10 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
110
Voted
AICT
2008
IEEE
119views Communications» more  AICT 2008»
14 years 10 months ago
Simplification of Frequency Test for Random Number Generation Based on Chi-Square
This paper presents the simplified method of random test suite based on the frequency (block) test. The test is used to check the first property of random numbers which is to have ...
Kruawan Wongpanya, Keattisak Sripimanwat, Kanok Je...
CIBCB
2006
IEEE
15 years 4 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao
PR
2007
139views more  PR 2007»
14 years 9 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
79
Voted
DAC
2005
ACM
15 years 11 months ago
Power-aware placement
Lowering power is one of the greatest challenges facing the IC industry today. We present a power-aware placement method that simultaneously performs (1) activity-based register c...
Yongseok Cheon, Pei-Hsin Ho, Andrew B. Kahng, Sher...