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147
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AR
2007
138views more  AR 2007»
15 years 2 months ago
Integrating robotics and neuroscience: brains for robots, bodies for brains
—Researchers in robotics and artificial intelligence have often looked at biology as a source of inspiration for solving their problems. From the opposite perspective, neuroscie...
Michele Rucci, Daniel Bullock, Fabrizio Santini
117
Voted
PR
2010
129views more  PR 2010»
15 years 1 months ago
Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
Aggregating statistical representations of classes is an important task for current trends in scaling up learning and recognition, or for addressing them in distributed infrastruc...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
147
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SDM
2012
SIAM
282views Data Mining» more  SDM 2012»
13 years 5 months ago
Citation Prediction in Heterogeneous Bibliographic Networks
To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
148
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SOCIALCOM
2010
14 years 9 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
ECML
2005
Springer
15 years 8 months ago
Estimation of Mixture Models Using Co-EM
We study estimation of mixture models for problems in which multiple views of the instances are available. Examples of this setting include clustering web pages or research papers ...
Steffen Bickel, Tobias Scheffer