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LION
2009
Springer
129views Optimization» more  LION 2009»
16 years 29 days ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
EMNLP
2007
15 years 7 months ago
A Probabilistic Approach to Diachronic Phonology
We present a probabilistic model of diachronic phonology in which individual word forms undergo stochastic edits along the branches of a phylogenetic tree. Our approach allows us ...
Alexandre Bouchard-Côté, Percy Liang,...
ICASSP
2009
IEEE
15 years 4 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
OSDI
2008
ACM
16 years 6 months ago
Probabilistic Inference in Queueing Networks
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
Charles A. Sutton, Michael I. Jordan
FOSSACS
2010
Springer
16 years 1 months ago
Retaining the Probabilities in Probabilistic Testing Theory
Abstract. This paper considers the probabilistic may/must testing theory for processes having external, internal, and probabilistic choices. We observe that the underlying testing ...
Sonja Georgievska, Suzana Andova