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» On Bayesian model and variable selection using MCMC
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CORR
2010
Springer
69views Education» more  CORR 2010»
14 years 9 months ago
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
We focus on credal nets, which are graphical models that generalise Bayesian nets to imprecise probability. We replace the notion of strong independence commonly used in credal ne...
Gert de Cooman, Filip Hermans, Alessandro Antonucc...
INFOCOM
1996
IEEE
15 years 1 months ago
Integrated Control of Connection Admission, Flow Rate, and Bandwidth for ATM Based Networks
: We consider the combined control problem of connection admission, flow rate, and bandwidth allocation (capacity, service-rate) under nonstationary conditions. A fluid flow model ...
Andreas Pitsillides, Petros A. Ioannou, David Tipp...
JMLR
2002
137views more  JMLR 2002»
14 years 9 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
CMOT
2000
94views more  CMOT 2000»
14 years 9 months ago
Performance of Organizational Design Models and Their Impact on Organization Learning
Theperformanceofvariousorganizationalstructuresisanessentialparameterinthereengineeringoforganizations, particularly in the current rapidly changing, competitive and information t...
Aris M. Ouksel, Ronald Vyhmeister
SSPR
2004
Springer
15 years 3 months ago
A Shallow Description Framework for Musical Style Recognition
Abstract. In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR). One challenging task within this area is the auto...
Pedro J. Ponce de León, Carlos Pérez...