ML
2012
ACM
12 years 7 months ago
2012
ACM
ML
2012
ACM
12 years 7 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...
ML
2012
ACM
12 years 7 months ago
2012
ACM
ML
2012
ACM
12 years 7 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...
ML
2012
ACM
12 years 7 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...