8970 search results - page 381 / 1794 » Learning to Learn Causal Models |
184
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JMLR
2010
15 years 1 months ago
2010
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
198
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ACL
2011
14 years 10 months ago
2011
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
170
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ESANN
2007
15 years 8 months ago
2007
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
219
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NIPS
2008
15 years 8 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
172
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...