186 search results - page 34 / 38 » Learning directed probabilistic logical models from relation... |
NIPS
2004
14 years 11 months ago
2004
Protein interactions typically arise from a physical interaction of one or more small sites on the surface of the two proteins. Identifying these sites is very important for drug ...
SAC
2009
ACM
15 years 4 months ago
2009
ACM
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
CMSB
2007
Springer
15 years 3 months ago
2007
Springer
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
IJCAI
2007
14 years 11 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
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KDD
2009
ACM
15 years 10 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...