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» Models for Incomplete and Probabilistic Information
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KDD
2008
ACM
211views Data Mining» more  KDD 2008»
15 years 10 months ago
ArnetMiner: extraction and mining of academic social networks
This paper addresses several key issues in the ArnetMiner system, which aims at extracting and mining academic social networks. Specifically, the system focuses on: 1) Extracting ...
Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zha...
HLK
2003
IEEE
15 years 2 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
KR
2010
Springer
15 years 2 months ago
One Hundred Prisoners and a Lightbulb - Logic and Computation
This is a case-study in knowledge representation. We analyze the ‘one hundred prisoners and a lightbulb’ puzzle. In this puzzle it is relevant what the agents (prisoners) know...
Hans P. van Ditmarsch, Jan van Eijck, William Wu
COLING
2010
14 years 4 months ago
Contextual Recommendation based on Text Mining
The potential benefit of integrating contextual information for recommendation has received much research attention recently, especially with the ever-increasing interest in mobil...
Yize Li, Jiazhong Nie, Yi Zhang, Bingqing Wang, Ba...
118
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RECOMB
2010
Springer
14 years 8 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...