Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
- Abstract Modeling web site personalization strategies. Personalization is a key factor for differentiating services and retaining customers in World Wide Web sites. On the other ...
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
It is widely accepted that complexity of biological systems arises from combinations of common subunits. In this work we investigate the combinatorial patterns of protein domains ...