375 search results - page 17 / 75 » Bayesian Inference for Sparse Generalized Linear Models |
132
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JMLR
2010
14 years 8 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
113
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ECSQARU
2007
Springer
15 years 8 months ago
2007
Springer
This paper presents a new approach to inference in Bayesian networks. The principal idea is to encode the network by logical sentences and to compile the resulting encoding into an...
122
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PERCOM
2007
ACM
16 years 1 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
143
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CORR
2010
Springer
15 years 2 days ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
133
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COGSCI
2004
15 years 1 months ago
2004
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...