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» Three Approaches to Probability Model Selection
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ATAL
2008
Springer
13 years 9 months ago
Multi-robot Markov random fields
We propose Markov random fields (MRFs) as a probabilistic mathematical model for unifying approaches to multi-robot coordination or, more specifically, distributed action selectio...
Jesse Butterfield, Odest Chadwicke Jenkins, Brian ...
TMM
2011
160views more  TMM 2011»
13 years 2 months ago
Routing-Aware Multiple Description Video Coding Over Mobile Ad-Hoc Networks
Abstract—Supporting video transmission over error-prone mobile ad-hoc networks is becoming increasingly important as these networks become more widely deployed. We propose a rout...
Yiting Liao, Jerry D. Gibson
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
Haplotype allelic classes for detecting ongoing positive selection
Background: Natural selection eliminates detrimental and favors advantageous phenotypes. This process leaves characteristic signatures in underlying genomic segments that can be r...
Julie Hussin, Philippe Nadeau, Jean-Françoi...
AAAI
2007
13 years 10 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
CIKM
2008
Springer
13 years 9 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai