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UAI
1996
15 years 8 months ago
Learning Equivalence Classes of Bayesian Network Structures
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
David Maxwell Chickering
DATAMINE
2006
83views more  DATAMINE 2006»
15 years 6 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
ECCV
2008
Springer
16 years 8 months ago
Learning to Localize Objects with Structured Output Regression
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
Matthew B. Blaschko, Christoph H. Lampert
APBC
2003
134views Bioinformatics» more  APBC 2003»
15 years 8 months ago
A Framework for Improving Protein Structure Predictions by Teamwork
Predicting the three dimensional structure of proteins is a difficult task. In the last years several approaches have been proposed for performing this task taking into account d...
Luigi Palopoli, Giorgio Terracina
BMCBI
2010
139views more  BMCBI 2010»
15 years 6 months ago
TOPSAN: a collaborative annotation environment for structural genomics
Background: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositi...
Dana Weekes, S. Sri Krishna, Constantina Bakolitsa...