156
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ML
13 years 9 months ago
2012 ACM 
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
149
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ML
13 years 9 months ago
2012 ACM 
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
137
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ML
13 years 9 months ago
2012 ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
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Machine Learning