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PAMI
2011
13 years 2 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams
ECCB
2008
IEEE
14 years 2 months ago
Connect the dots: exposing hidden protein family connections from the entire sequence tree
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Yaniv Loewenstein, Michal Linial
ISMB
1994
13 years 9 months ago
Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars
We describe and demonstrate the effectiveness of a method of predicting protein secondary structures, sheet regions in particular, using a class of stochastic tree grammars as rep...
Hiroshi Mamitsuka, Naoki Abe
BMCBI
2007
136views more  BMCBI 2007»
13 years 7 months ago
Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
Xiaoyu Chen, Mathieu Blanchette
ADBIS
2006
Springer
103views Database» more  ADBIS 2006»
14 years 1 months ago
RA: An XML Schema Reduction Algorithm
XML file comparison and clustering are two challenging tasks still accomplished predominantly manually. XML schema contains information about data structure, types, and labels fou...
Angela Cristina Duta, Ken Barker, Reda Alhajj