265 search results - page 36 / 53 » A Scheme for Approximating Probabilistic Inference |
AAAI
2010
13 years 10 months ago
2010
Mini-Bucket Elimination (MBE) is a well-known approximation algorithm deriving lower and upper bounds on quantities of interest over graphical models. It relies on a procedure tha...
RECOMB
2004
Springer
14 years 9 months ago
2004
Springer
This paper is concerned with the reconstruction of perfect phylogenies from binary character data with missing values, and related problems of inferring complete haplotypes from h...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
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...
PAMI
2006
13 years 8 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...