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BMCBI
2008
148views more  BMCBI 2008»
15 years 4 months ago
BATS: a Bayesian user-friendly software for Analyzing Time Series microarray experiments
Summary: BATS is a user-friendly software for Bayesian Analysis of Time Series microarray experiments based on the novel, truly functional and fully Bayesian approach proposed in ...
Claudia Angelini, Luisa Cutillo, Daniela De Candit...
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 10 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
IJDMMM
2010
128views more  IJDMMM 2010»
15 years 2 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
ICRA
2005
IEEE
111views Robotics» more  ICRA 2005»
15 years 9 months ago
Keeping Track of Humans: Have I Seen This Person Before?
— In this paper we describe a system that enables a mobile robot equipped with a color vision system to track humans in indoor environments. We developed a method for tracking hu...
Wojciech Zajdel, Zoran Zivkovic, Ben J. A. Krö...
SEMWEB
2005
Springer
15 years 9 months ago
Representing Probabilistic Relations in RDF
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...
Yoshio Fukushige