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JAIR
1998
198views more  JAIR 1998»
15 years 3 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
WSC
2007
15 years 6 months ago
Predicting cluster tool behavior with slow down factors
Cluster tools are representatives of a special kind of tool where process times of jobs depend on the combination in which they are processed together on the tool and hence, depen...
Robert Unbehaun, Oliver Rose
127
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NGITS
1995
Springer
15 years 7 months ago
Category Translation: Learning to Understand Information on the Internet
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...
Mike Perkowitz, Oren Etzioni
CVPR
2006
IEEE
16 years 6 months ago
Dynamics Based Robust Motion Segmentation
In this paper we consider the problem of segmenting multiple rigid motions using multi?frame point correspondence data. The main idea of the method is to group points according to...
Roberto Lublinerman, Mario Sznaier, Octavia I. Cam...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
15 years 4 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...