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» A Framework for Network Modeling in Prolog
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JMLR
2010
202views more  JMLR 2010»
14 years 10 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ACL
2012
13 years 6 months ago
Tweet Recommendation with Graph Co-Ranking
As one of the most popular micro-blogging services, Twitter attracts millions of users, producing millions of tweets daily. Shared information through this service spreads faster ...
Rui Yan, Mirella Lapata, Xiaoming Li
MOBICOM
2004
ACM
15 years 9 months ago
A scalable model for channel access protocols in multihop ad hoc networks
A new modeling framework is introduced for the analytical study of medium access control (MAC) protocols operating in multihop ad hoc networks. The model takes into account the eï...
Marcelo M. Carvalho, Jose Joaquin Garcia-Luna-Acev...
ISPASS
2009
IEEE
15 years 10 months ago
GARNET: A detailed on-chip network model inside a full-system simulator
Until very recently, microprocessor designs were computation-centric. On-chip communication was frequently ignored. This was because of fast, single-cycle on-chip communication. T...
Niket Agarwal, Tushar Krishna, Li-Shiuan Peh, Nira...
BMCBI
2004
185views more  BMCBI 2004»
15 years 3 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...