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JMLR
2010
125views more  JMLR 2010»
13 years 4 months ago
Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation
In this paper, we consider the asymptotic form of the generalization error for the restricted Boltzmann machine in Bayesian estimation. It has been shown that obtaining the maximu...
Miki Aoyagi
ICLP
1990
Springer
14 years 1 months ago
Kernel Andorra Prolog and its Computation Model
The logic programming language framework Kernel Andorra Prolog is de ned by a formal computation model. In Kernel Andorra Prolog, general combinations of concurrent reactive langu...
Seif Haridi, Sverker Janson
CSDA
2006
169views more  CSDA 2006»
13 years 9 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
ICASSP
2011
IEEE
13 years 1 months ago
Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model
This paper addresses the problem of estimating the statistical distribution of multiple-tissue non-stationary ultrasound images of skin. The distribution of multiple-tissue images...
Marcelo Pereyra, Nicolas Dobigeon, Hadj Batatia, J...