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» Computational aspects of Bayesian partition models
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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,...
JCB
2000
146views more  JCB 2000»
13 years 7 months ago
Bayesian Segmentation of Protein Secondary Structure
We present a novel method for predicting the secondary structure of a protein from its amino acid sequence. Most existing methods predict each position in turn based on a local wi...
Scott C. Schmidler, Jun S. Liu, Douglas L. Brutlag
COGSCI
2008
139views more  COGSCI 2008»
13 years 7 months ago
A Computational Model of Early Argument Structure Acquisition
How children go about learning the general regularities that govern language, as well as keeping track of the exceptions to them, remains one of the challenging open questions in ...
Afra Alishahi, Suzanne Stevenson
OTM
2007
Springer
14 years 1 months ago
Bayesian Analysis of Secure P2P Sharing Protocols
Ad hoc and peer-to-peer (P2P) computing paradigms pose a number of security challenges. The deployment of classic security protocols to provide services such as node authentication...
Esther Palomar, Almudena Alcaide, Juan M. Est&eacu...
ICPR
2010
IEEE
13 years 6 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag