375 search results - page 31 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
121
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CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract-- Recovering or estimating the initial state of a highdimensional system can require a potentially large number of measurements. In this paper, we explain how this burden ...
109
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
112
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CINQ
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
144
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BMCBI
2008
15 years 2 months ago
2008
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
133
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ACL
2012
13 years 4 months ago
2012
Many semantic parsing models use tree transformations to map between natural language and meaning representation. However, while tree transformations are central to several state-...