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» Learning to Align: A Statistical Approach
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ALMOB
2008
82views more  ALMOB 2008»
13 years 7 months ago
Protein sequence and structure alignments within one framework
Background: Protein structure alignments are usually based on very different techniques to sequence alignments. We propose a method which treats sequence, structure and even combi...
Gundolf Schenk, Thomas Margraf, Andrew E. Torda
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 7 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
DAGSTUHL
2009
13 years 8 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
INTERSPEECH
2010
13 years 2 months ago
Learning speaker normalization using semisupervised manifold alignment
As a child acquires language, he or she: perceives acoustic information in his or her surrounding environment; identifies portions of the ambient acoustic information as languager...
Andrew R. Plummer, Mary E. Beckman, Mikhail Belkin...
BMCBI
2010
143views more  BMCBI 2010»
13 years 5 months ago
A genome alignment algorithm based on compression
Background: Traditional genome alignment methods consider sequence alignment as a variation of the string edit distance problem, and perform alignment by matching characters of th...
Minh Duc Cao, Trevor I. Dix, Lloyd Allison