2136 search results - page 191 / 428 » Improving on Expectation Propagation |
FPL
2009
Springer
14 years 8 months ago
2009
Springer
In this article, we introduce the ongoing research in modeling and mapping for heterogeneous, customizable, parallel systems, as part of the effort in the newly established Center...
109
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JMLR
2011
14 years 6 months ago
2011
A strong inductive bias is essential in unsupervised grammar induction. In this paper, we explore a particular sparsity bias in dependency grammars that encourages a small number ...
113
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CVPR
2012
IEEE
13 years 1 months ago
2012
IEEE
We propose a method of clustering images that combines algorithmic and human input. An algorithm provides us with pairwise image similarities. We then actively obtain selected, mo...
88
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MOBICOM
2003
ACM
15 years 4 months ago
2003
ACM
This paper presents the expected transmission count metric (ETX), which finds high-throughput paths on multi-hop wireless networks. ETX minimizes the expected total number of pac...
150
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FOCS
2010
IEEE
14 years 9 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...