58 search results - page 10 / 12 » Bayesian Inference for PCFGs via Markov Chain Monte Carlo |
JCST
2010
13 years 4 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
CHI
2006
ACM
2006
ACM
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
14 years 6 months ago
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
JMLR
2010
13 years 16 days 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...
IPPS
2010
IEEE
13 years 3 months ago
2010
IEEE
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
BMCBI
2005
13 years 5 months ago
2005
Background: Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this p...