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» Approximate Probabilistic Model Checking
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DOLAP
2005
ACM
15 years 1 months ago
Providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP
A novel framework for providing probabilistically-bounded approximate answers to non-holistic aggregate range queries in OLAP is presented in this paper. Such a framework allows u...
Alfredo Cuzzocrea
ICML
2004
IEEE
16 years 19 days ago
Approximate inference by Markov chains on union spaces
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
Max Welling, Michal Rosen-Zvi, Yee Whye Teh
JMLR
2002
115views more  JMLR 2002»
14 years 11 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
WWW
2008
ACM
16 years 15 days ago
Offline matching approximation algorithms in exchange markets
Motivated by several marketplace applications on rapidly growing online social networks, we study the problem of efficient offline matching algorithms for online exchange markets....
Zeinab Abbassi, Laks V. S. Lakshmanan
AI
2011
Springer
14 years 3 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson