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CMSB
2009
Springer
14 years 2 months ago
Probabilistic Approximations of Signaling Pathway Dynamics
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
Bing Liu, P. S. Thiagarajan, David Hsu
TOG
2010
134views more  TOG 2010»
13 years 2 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 8 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
UAI
1996
13 years 8 months ago
Topological parameters for time-space tradeoff
In this paper we propose a family of algorithms combining treeclustering with conditioning that trade space for time. Such algorithms are useful for reasoning in probabilistic and...
Rina Dechter
DKE
2006
70views more  DKE 2006»
13 years 7 months ago
Merging news reports that describe events
Many kinds of news report provide information about events. For example, business news reports in the area of mergers and acquisitions, provide information about events such as &q...
Anthony Hunter, Rupert Summerton