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» Predictive Hebbian Learning
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144
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ESWA
2007
127views more  ESWA 2007»
15 years 3 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
161
Voted
CIKM
2010
Springer
14 years 10 months ago
Predicting short-term interests using activity-based search context
A query considered in isolation offers limited information about a searcher's intent. Query context that considers pre-query activity (e.g., previous queries and page visits)...
Ryen W. White, Paul N. Bennett, Susan T. Dumais
136
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 4 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
149
Voted
WWW
2010
ACM
15 years 10 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
123
Voted
BMCBI
2010
127views more  BMCBI 2010»
15 years 3 months ago
Computational prediction of type III secreted proteins from gram-negative bacteria
Background: Type III secretion system (T3SS) is a specialized protein delivery system in gramnegative bacteria that injects proteins (called effectors) directly into the eukaryoti...
Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma...