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» Compositional Methods for Information-Hiding
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UAI
2003
13 years 9 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
UAI
1996
13 years 9 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
ADBIS
2010
Springer
333views Database» more  ADBIS 2010»
13 years 8 months ago
Horizontal Partitioning by Predicate Abstraction and Its Application to Data Warehouse Design
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Ori-Finder: A web-based system for finding oriCs in unannotated bacterial genomes
Background: Chromosomal replication is the central event in the bacterial cell cycle. Identification of replication origins (oriCs) is necessary for almost all newly sequenced bac...
Feng Gao, Chun-Ting Zhang
CGF
2008
103views more  CGF 2008»
13 years 7 months ago
Image-based Shaving
Many categories of objects, such as human faces, can be naturally viewed as a composition of several different layers. For example, a bearded face with glasses can be decomposed i...
Minh Hoai Nguyen, Jean-François Lalonde, Al...