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ML
2002
ACM
135views Machine Learning» more  ML 2002»
13 years 4 months ago
Bayesian Treed Models
When simple parametric models such as linear regression fail to adequately approximate a relationship across an entire set of data, an alternative may be to consider a partition o...
Hugh A. Chipman, Edward I. George, Robert E. McCul...
IJIS
2006
115views more  IJIS 2006»
13 years 4 months ago
Noisy-or classifier
We discuss an application of a family of Bayesian network models
Jirí Vomlel
ECML
2006
Springer
13 years 8 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
CSDA
2006
149views more  CSDA 2006»
13 years 4 months ago
Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denoising
The normal Bayesian linear model is extended by assigning a flat prior to the th power of the variance components of the regression coefficients (0<
Cajo J. F. ter Braak
ICCSA
2003
Springer
13 years 10 months ago
A Probabilistic Model for Predicting Software Development Effort
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
Parag C. Pendharkar, Girish H. Subramanian, James ...