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» Some recent advances in automated analysis
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TASE
2008
IEEE
14 years 10 months ago
Perspectives in Probabilistic Verification
Soon after the birth of the flourishing research area of model checking in the early eighties, researchers started to apply this technique to finite automata equipped with probabi...
Joost-Pieter Katoen
MM
2006
ACM
178views Multimedia» more  MM 2006»
15 years 4 months ago
Multimedia signal processing for behavioral quantification in neuroscience
While there have been great advances in quantification of the genotype of organisms, including full genomes for many species, the quantification of phenotype is at a comparatively...
Peter Andrews, Haibin Wang, Dan Valente, Jih&egrav...
CSL
2010
Springer
14 years 10 months ago
Discriminative training of HMMs for automatic speech recognition: A survey
Recently, discriminative training (DT) methods have achieved tremendous progress in automatic speech recognition (ASR). In this survey article, all mainstream DT methods in speech...
Hui Jiang
KDD
2007
ACM
197views Data Mining» more  KDD 2007»
15 years 10 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
83
Voted
BMCBI
2008
125views more  BMCBI 2008»
14 years 10 months ago
XplorSeq: A software environment for integrated management and phylogenetic analysis of metagenomic sequence data
Background: Advances in automated DNA sequencing technology have accelerated the generation of metagenomic DNA sequences, especially environmental ribosomal RNA gene (rDNA) sequen...
Daniel N. Frank