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IJAR
2007
130views more  IJAR 2007»
13 years 8 months ago
Bayesian network learning algorithms using structural restrictions
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
Luis M. de Campos, Javier Gomez Castellano
ACL
2012
11 years 11 months ago
Learning Translation Consensus with Structured Label Propagation
In this paper, we address the issue for learning better translation consensus in machine translation (MT) research, and explore the search of translation consensus from similar, r...
Shujie Liu, Chi-Ho Li, Mu Li, Ming Zhou
CPM
2006
Springer
125views Combinatorics» more  CPM 2006»
14 years 7 days ago
Geometric Suffix Tree: A New Index Structure for Protein 3-D Structures
Abstract. Protein structure analysis is one of the most important research issues in the post-genomic era, and faster and more accurate query data structures for such 3-D structure...
Tetsuo Shibuya
BMCBI
2011
13 years 3 days ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
GECCO
2003
Springer
106views Optimization» more  GECCO 2003»
14 years 1 months ago
Taming a Flood with a T-CUP - Designing Flood-Control Structures with a Genetic Algorithm
This paper describes the use of a genetic algorithm to solve a hydrology design problem - determining an optimal or near-optimal prescription of Best Management Practices in a flo...
Jeff Wallace, Sushil J. Louis