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BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
15 years 6 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
ACL
1996
15 years 7 months ago
Linguistic Structure as Composition and Perturbation
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
Carl de Marcken
BMCBI
2004
113views more  BMCBI 2004»
15 years 6 months ago
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...
ICIP
2004
IEEE
16 years 8 months ago
Systematic lossy forward error protection for error-resilient digital video broadcasting -a wyner-ziv coding approach
We present a practical scheme for error-resilient digital video broadcasting, using the Wyner-Ziv coding paradigm. We apply the general framework of systematic lossy source-channe...
Shantanu Rane, Anne Aaron, Bernd Girod
ICMI
2005
Springer
136views Biometrics» more  ICMI 2005»
15 years 12 months ago
Probabilistic grounding of situated speech using plan recognition and reference resolution
Situated, spontaneous speech may be ambiguous along acoustic, lexical, grammatical and semantic dimensions. To understand such a seemingly difficult signal, we propose to model th...
Peter Gorniak, Deb Roy