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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 programming
Baum–Welch algorithm
Bayesian network
Belief propagation
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Artificial intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
A multi-level behavior network-based dangerous situation recognition method in cloud computing environments
Deok-Gyu Lee
Journal of Supercomputing
2017
Corpus ID: 31408163
There are a variety of dangerous situations that elementary school students encounter when they commute to their school. Given…
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2015
2015
Bayesian approaches to the building of archaeological chronologies
Christopher Bronk
2015
Corpus ID: 73580654
Bayesian statistics provide a methodology for combining information from diverse sources, assuming that such information can be…
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2012
2012
Performance Evaluation of Predictive Classifiers For Knowledge Discovery From Engineering Materials Data Sets
S. HemanthK.
,
Doreswamy
arXiv.org
2012
Corpus ID: 17641522
In this paper, naive Bayesian and C4.5 Decision Tree Classifiers(DTC) are successively applied on materials informatics to…
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2011
2011
Automatic Detection of Ringworm using Local Binary Pattern (LBP)
Srimanta Kundu
,
N. Das
,
M. Nasipuri
arXiv.org
2011
Corpus ID: 18680147
In this paper we present a novel approach for automatic recognition of ring worm skin disease based on LBP (Local Binary Pattern…
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2010
2010
Gender classification from unconstrained video sequences
Meltem Demirkus
,
M. Toews
,
James J. Clark
,
T. Arbel
IEEE Computer Society Conference on Computer…
2010
Corpus ID: 15353158
This paper presents the first investigation into the classification of faces from unconstrained video sequences in natural scenes…
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2009
2009
Bayesian Computation and Model Selection in Population Genetics
Christoph Leuenberger Daniel Wegmann Laurent Excoffier
2009
Corpus ID: 17400112
Until recently, the use of Bayesian inference in population genetics was limited to a few cases because for many realistic…
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2009
2009
Mixture of Behaviors in a Bayesian Driver Model
C. Möbus
,
M. Eilers
,
Malte Zilinski
,
Hilke Garbe
2009
Corpus ID: 14171520
The Human Centered Design (HCD) of Partial Autonomous Driver Assistance Systems (PADAS) requires Digital Human Models (DHMs) of…
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2006
2006
The Combinatorial Seller ’ s Bid Double Auction : An Asymptotically Efficient Market Mechanism *
R. Jain
,
P. Varaiya
2006
Corpus ID: 17132245
We consider the problem of efficient mechanism design for multilateral trading of multiple goods with independent private types…
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1999
1999
A Credal Approach to Naive Classification
Marco Zaffalon
International Symposium on Imprecise…
1999
Corpus ID: 7802607
Convex sets of probability distributions are also called credal sets. They generalize probability theory with special regard to…
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1995
1995
Bayesian detection and estimation of cisoids in colored noise
Chao-Ming Cho
,
P. Djurić
IEEE Transactions on Signal Processing
1995
Corpus ID: 18240071
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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