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LMCS
2006
98views more  LMCS 2006»
13 years 7 months ago
Approximate reasoning for real-time probabilistic processes
We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisi...
Vineet Gupta, Radha Jagadeesan, Prakash Panangaden
ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
IQ
2000
13 years 9 months ago
IP-MAP: Representing the Manufacture of an Information Product
Organizations have recognized the need for high quality information and academics have proposed several methods to measure and improve information quality. One such method is to m...
Ganesan Shankaranarayanan, Richard Y. Wang, Mostap...
CIVR
2007
Springer
154views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Representing shape with a spatial pyramid kernel
The objective of this paper is classifying images by the object categories they contain, for example motorbikes or dolphins. There are three areas of novelty. First, we introduce ...
Anna Bosch, Andrew Zisserman, Xavier Muñoz
IFM
2010
Springer
152views Formal Methods» more  IFM 2010»
13 years 6 months ago
Satisfaction Meets Expectations - Computing Expected Values of Probabilistic Hybrid Systems with SMT
Stochastic satisfiability modulo theories (SSMT), which is an extension of satisfiability modulo theories with randomized quantification, has successfully been used as a symboli...
Martin Fränzle, Tino Teige, Andreas Eggers