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» Supervised Link Prediction Using Multiple Sources
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SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
14 years 10 days ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
VTC
2008
IEEE
121views Communications» more  VTC 2008»
14 years 5 months ago
Cooperative Phase Sweep Amplify-and-Forward Transmission
— This work presents a new amplify-and-forward (AF) cooperative multiple input multiple output (MIMO) transmission scheme based on phase sweep transmit diversity. In a single hop...
Geoffrey G. Messier, Sebastian Magierowski, Jean-F...
CIKM
2010
Springer
13 years 9 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
RECOMB
2004
Springer
14 years 11 months ago
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response
We present a novel classification-based algorithm called GeneClass for learning to predict gene regulatory response. Our approach is motivated by the hypothesis that in simple orga...
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, ...
ACL
2006
14 years 10 days ago
Discriminative Word Alignment with Conditional Random Fields
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...
Phil Blunsom, Trevor Cohn