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IJCAI
2007
14 years 11 months ago
Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Shin-ichi Minato, Ken Satoh, Taisuke Sato
CIT
2006
Springer
15 years 1 months ago
A new collision resistant hash function based on optimum dimensionality reduction using Walsh-Hadamard transform
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
Barzan Mozafari, Mohammad Hasan Savoji
ICIP
2009
IEEE
15 years 11 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
BMCBI
2006
75views more  BMCBI 2006»
14 years 9 months ago
A machine learning strategy to identify candidate binding sites in human protein-coding sequence
Background: The splicing of RNA transcripts is thought to be partly promoted and regulated by sequences embedded within exons. Known sequences include binding sites for SR protein...
Thomas Down, Bernard Leong, Tim J. P. Hubbard
BMCBI
2010
219views more  BMCBI 2010»
14 years 4 months ago
BiologicalNetworks 2.0 - an integrative view of genome biology data
Background: A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the differe...
Sergey Kozhenkov, Yulia Dubinina, Mayya Sedova, Am...