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AUSAI
1998
Springer
13 years 11 months ago
Adjusted Probability Naive Bayesian Induction
Naive Bayesian classi ers utilise a simple mathematical model for induction. While it is known that the assumptions on which this model is based are frequently violated, the predic...
Geoffrey I. Webb, Michael J. Pazzani
ECAI
2008
Springer
13 years 9 months ago
Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
Peter Sutovskú, Gregory F. Cooper
IPPS
2007
IEEE
14 years 1 months ago
Protein Secondary Structure Prediction using Bayesian Inference method on Decision fusion algorithms
Prediction of protein secondary structure (alpha-helix, beta-sheet, coil) from primary sequence of amino acids is a very challenging task, and the problem has been approached from...
Somasheker Akkaladevi, Ajay K. Katangur
IJCAI
2007
13 years 9 months ago
Bayesian Tensor Inference for Sketch-Based Facial Photo Hallucination
This paper develops a statistical inference approach, Bayesian Tensor Inference, for style transformation between photo images and sketch images of human faces. Motivated by the r...
Wei Liu, Xiaoou Tang, Jianzhuang Liu
ICML
2009
IEEE
14 years 8 months ago
Bayesian inference for Plackett-Luce ranking models
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
John Guiver, Edward Snelson