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NIPS
2003
15 years 8 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
BMCBI
2007
156views more  BMCBI 2007»
15 years 6 months ago
Predictive modeling of plant messenger RNA polyadenylation sites
Background: One of the essential processing events during pre-mRNA maturation is the posttranscriptional addition of a polyadenine [poly(A)] tail. The 3'-end poly(A) track pr...
Guoli Ji, Jianti Zheng, Yingjia Shen, Xiaohui Wu, ...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
16 years 29 days ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
CVPR
2006
IEEE
16 years 27 days ago
Fast Compact City Modeling for Navigation Pre-Visualization
Nowadays, GPS-based car navigation systems mainly use speech and aerial views of simplified road maps to guide drivers to their destination. However, drivers often experience dif...
Nico Cornelis, Kurt Cornelis, Luc J. Van Gool
CONCURRENCY
2006
142views more  CONCURRENCY 2006»
15 years 6 months ago
A Grid service broker for scheduling e-Science applications on global data Grids
: The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged ...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton