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TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
LPNMR
2011
Springer
14 years 9 months ago
Approximations for Explanations of Inconsistency in Partially Known Multi-Context Systems
Abstract. Multi-context systems are a formalism to interlink decentralized and heterogeneous knowledge based systems (contexts), which interact via (possibly nonmonotonic) bridge r...
Thomas Eiter, Michael Fink, Peter Schüller
ICML
2006
IEEE
16 years 7 months ago
Efficient MAP approximation for dense energy functions
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...
Marius Leordeanu, Martial Hebert
ATAL
2007
Springer
16 years 29 days ago
Approximate state estimation in multiagent settings with continuous or large discrete state spaces
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
Prashant Doshi
SOFSEM
2007
Springer
16 years 26 days ago
Fast Approximate Point Set Matching for Information Retrieval
We investigate randomised algorithms for subset matching with spatial point sets—given two sets of d-dimensional points: a data set T consisting of n points and a pattern P consi...
Raphaël Clifford, Benjamin Sach