171 search results - page 21 / 35 » Factorized Asymptotic Bayesian Inference for Mixture Modelin... |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
PAMI
2002
13 years 8 months ago
2002
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
JMLR
2006
13 years 8 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
KDD
2004
ACM
14 years 2 months ago
2004
ACM
Mark-recapture models have for many years been used to estimate the unknown sizes of animal and bird populations. In this article we adapt a finite mixture mark-recapture model i...
ESOP
2011
Springer
13 years 7 days ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...