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Bayesian programming

Bayesian programming is a formalism and a methodology to specify probabilistic models and solve problems when less than the necessary information is… 
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Related topics

Related topics

27 relations
Abductive logic programmingBaum–Welch algorithmBayesian networkBelief propagation

Broader (1)

Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Achievable performance of Bayesian compressive sensing based spectrum sensing
In wideband spectrum sensing, compressive sensing approaches have been used at the receiver side to decrease the sampling rate… 
2011
2011
Automatic Detection of Ringworm using Local Binary Pattern (LBP)
In this paper we present a novel approach for automatic recognition of ring worm skin disease based on LBP (Local Binary Pattern… 
Review
2010
Review
2010
Feature based opinion mining of online free format customer reviews using frequency distribution and Bayesian statistics
Nowadays, a large number of websites allow users to post reviews about products they bought. There are thousands of reviews of… 
2010
2010
Gender classification from unconstrained video sequences
This paper presents the first investigation into the classification of faces from unconstrained video sequences in natural scenes… 
2009
2009
Bayesian Computation and Model Selection in Population Genetics
Until recently, the use of Bayesian inference in population genetics was limited to a few cases because for many realistic… 
2008
2008
Tracking facial features under occlusions and recognizing facial expressions in sign language
This paper presents work towards recognizing facial expressions that are used in sign language recognition. Facial features are… 
2006
2006
Variational Method for Image Denoising by Distributed Genetic Algorithms on GRID Environment
The aim of this paper is to present a novel distributed genetic algorithm architecture implemented on grid computing by using the… 
Highly Cited
1999
Highly Cited
1999
The Practice of Bayesian Analysis
The purpose of this book is twofold. First, it has been written to advertise the advantages a Bayesian analysis can bring. New… 
1999
1999
A Credal Approach to Naive Classification
Convex sets of probability distributions are also called credal sets. They generalize probability theory with special regard to… 
1995
1995
Bayesian detection and estimation of cisoids in colored noise
The problem of estimating the number of cisoids in colored noise is addressed. It is assumed that the noise can be modeled by an… 
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