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» Can Document Selection Help Semi-supervised Learning
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BMCBI
2006
137views more  BMCBI 2006»
13 years 5 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...
LRE
2006
175views more  LRE 2006»
13 years 5 months ago
Automatically generating related queries in Japanese
Web searchers reformulate their queries, as they adapt to search engine behavior, learn more about a topic, or simply correct typing errors. Automatic query rewriting can help user...
Rosie Jones, Kevin Bartz, Pero Subasic, Benjamin R...
IPM
2007
129views more  IPM 2007»
13 years 5 months ago
Examining the effectiveness of real-time query expansion
Interactive query expansion (IQE) (c.f. Efthimiadis, 1996) is a potentially useful technique to help searchers formulate improved query statements, and ultimately retrieve better ...
Ryen W. White, Gary Marchionini
ISI
2006
Springer
13 years 5 months ago
Tracing the Event Evolution of Terror Attacks from On-Line News
Since the September 11th terror attack at New York in 2001, the frequency of terror attacks around the world has been increasing and it draws more attention of the public. On Janua...
Christopher C. Yang, Xiaodong Shi, Chih-Ping Wei
CVPR
2010
IEEE
14 years 1 months ago
Segmenting Video Into Classes of Algorithm-Suitability
Given a set of algorithms, which one(s) should you apply to, i) compute optical flow, or ii) perform feature matching? Would looking at the sequence in question help you decide? I...
Oisin Mac Aodha, Gabriel Brostow, marc Pollefeys