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140
Voted
UAI
2008
15 years 4 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
177
Voted
ATAL
2005
Springer
15 years 9 months ago
2005
Springer
We describe a very large scale distributed robotic system, involving a team of over 100 robots, that has been successfully deployed in large, unknown indoor environments, over ext...
135
Voted
NSDI
2008
15 years 5 months ago
2008
Internet routing events are known to introduce severe disruption to applications. So far effective diagnosis of routing events has relied on proprietary ISP data feeds, resulting ...
116
Voted
WABI
2004
Springer
15 years 8 months ago
2004
Springer
—In practice, one is often faced with incomplete phylogenetic data, such as a collection of partial trees or partial splits. This paper poses the problem of inferring a phylogene...
142
Voted
IJAR
2010
15 years 1 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...