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118
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IPPS
2007
IEEE
15 years 7 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
AMAI
2008
Springer
15 years 24 days ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
109
Voted
ICML
2009
IEEE
16 years 1 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
101
Voted
ICPR
2000
IEEE
16 years 1 months ago
Structuring Personal Activity Records Based on Attention - Analyzing Videos from Head-Mounted Camera
This paper introduces a novel method for analyzing video records which contain personal activities captured by a head mounted camera. This aims to support the user to retrieve the...
Yuichi Nakamura, Yuichi Ohta, Jun'ya Ohde
106
Voted
IJAR
2006
89views more  IJAR 2006»
15 years 20 days ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander