Sciweavers

183 search results - page 26 / 37
» Markov Chain Monte Carlo using Tree-Based Priors on Model St...
Sort
View
ICML
2009
IEEE
14 years 8 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
BMCBI
2010
174views more  BMCBI 2010»
13 years 7 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
CORR
2010
Springer
162views Education» more  CORR 2010»
13 years 7 months ago
Random sampling of lattice paths with constraints, via transportation
We investigate Monte Carlo Markov Chain (MCMC) procedures for the random sampling of some one-dimensional lattice paths with constraints, for various constraints. We will see that...
Lucas Gerin
ETT
2002
93views Education» more  ETT 2002»
13 years 7 months ago
Quantum simulation - rare event simulation by means of cloning, thinning and distortion
A method of rare event simulation, termed here quantum simulation, and known also (with some variations) as population Monte Carlo, and Sequential Markov Chain simulation, is appli...
R. G. Addie
ICSNC
2007
IEEE
14 years 1 months ago
Movement Prediction Using Bayesian Learning for Neural Networks
Nowadays, path prediction is being extensively examined for use in the context of mobile and wireless computing towards more efficient network resource management schemes. Path pr...
Sherif Akoush, Ahmed Sameh