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» Learning Probabilistic Models of Relational Structure
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INFOCOM
2007
IEEE
15 years 6 months ago
Reliable Broadcast in Wireless Networks with Probabilistic Failures
We consider the problem of reliable broadcast in a wireless network in which nodes are prone to failure. In the failure mode considered in this paper, each node can fail independe...
Vartika Bhandari, Nitin H. Vaidya
111
Voted
RECOMB
2005
Springer
16 years 26 days ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
105
Voted
NIPS
2004
15 years 1 months ago
Assignment of Multiplicative Mixtures in Natural Images
In the analysis of natural images, Gaussian scale mixtures (GSM) have been used to account for the statistics of filter responses, and to inspire hierarchical cortical representat...
Odelia Schwartz, Terrence J. Sejnowski, Peter Daya...
ACL
2008
15 years 2 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
CORR
2000
Springer
116views Education» more  CORR 2000»
15 years 11 days ago
Algorithmic Statistics
While Kolmogorov complexity is the accepted absolute measure of information content of an individual finite object, a similarly absolute notion is needed for the relation between a...
Péter Gács, John Tromp, Paul M. B. V...