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» Mobile learning: A framework and evaluation
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BMCBI
2006
137views more  BMCBI 2006»
14 years 12 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
15 years 4 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...
ICASSP
2009
IEEE
15 years 3 months ago
Learning to maximize signal-to-noise ratio for reverberant speech segregation
Monaural speech segregation in reverberant environments is a very difficult problem. We develop a supervised learning approach by proposing an objective function that directly rel...
Zhaozhang Jin, DeLiang Wang
ACL
2008
15 years 1 months ago
Name Translation in Statistical Machine Translation - Learning When to Transliterate
We present a method to transliterate names in the framework of end-to-end statistical machine translation. The system is trained to learn when to transliterate. For Arabic to Engl...
Ulf Hermjakob, Kevin Knight, Hal Daumé III
ACL
2004
15 years 1 months ago
Enriching the Output of a Parser Using Memory-based Learning
We describe a method for enriching the output of a parser with information available in a corpus. The method is based on graph rewriting using memorybased learning, applied to dep...
Valentin Jijkoun, Maarten de Rijke