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UAI
2003
14 years 11 months ago
2003
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
112
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UAI
2003
14 years 11 months ago
2003
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
UAI
2000
14 years 11 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
UAI
2000
14 years 11 months ago
2000
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
114
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TREC
2007
14 years 11 months ago
2007
Exegy’s submission for the TREC 2007 million query track consisted of results obtained by running the queries against the raw data, i.e., the data was not indexed. The hardwarea...