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ICML
2008
IEEE
14 years 11 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 years 8 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
MOBICOM
2009
ACM
14 years 5 months ago
Impact of mobility on spectrum sensing in cognitive radio networks
In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users’ communications. Alt...
Alexander W. Min, Kang G. Shin
HICSS
2008
IEEE
137views Biometrics» more  HICSS 2008»
14 years 5 months ago
Social Network Structure as a Critical Success Condition for Virtual Communities
Virtual communities have become an important new organizational form and yet relatively little is known about the conditions which lead to their success. In an attempt to address ...
David Hinds, Ronald M. Lee
SSDBM
2008
IEEE
146views Database» more  SSDBM 2008»
14 years 5 months ago
Kriging for Localized Spatial Interpolation in Sensor Networks
Abstract. The presence of coverage holes can adversely affect the accurate representation of natural phenomena being monitored by a Wireless Sensor Network (WSN). Current WSN resea...
Muhammad Umer, Lars Kulik, Egemen Tanin