613 search results - page 37 / 123 » Learning the Structure of Linear Latent Variable Models |
141
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VAMOS
2010
Springer
15 years 4 months ago
2010
Springer
In its basic form, a variability model describes the variations among similar artifacts from a structural point of view. It does not capture any information about when these variat...
132
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
127
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SAC
2009
ACM
15 years 10 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
131
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JMLR
2010
14 years 10 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
139
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KDD
2005
ACM
16 years 3 months ago
2005
ACM
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...