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» Prediction on Spike Data Using Kernel Algorithms
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SIGIR
2012
ACM
11 years 11 months ago
Language intent models for inferring user browsing behavior
Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing be...
Manos Tsagkias, Roi Blanco
BMCBI
2006
103views more  BMCBI 2006»
13 years 9 months ago
Domain-based small molecule binding site annotation
Background: Accurate small molecule binding site information for a protein can facilitate studies in drug docking, drug discovery and function prediction, but small molecule bindi...
Kevin A. Snyder, Howard J. Feldman, Michel Dumonti...
ICDE
2005
IEEE
172views Database» more  ICDE 2005»
14 years 2 months ago
Monitoring K-Nearest Neighbor Queries Over Moving Objects
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries over moving objects within a geographic area. Existing approaches to this problem...
Xiaohui Yu, Ken Q. Pu, Nick Koudas
IMC
2004
ACM
14 years 2 months ago
Modeling distances in large-scale networks by matrix factorization
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
Yun Mao, Lawrence K. Saul
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 9 months ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...