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176
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ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
WABI
2005
Springer
15 years 11 months ago
Rotamer-Pair Energy Calculations Using a Trie Data Structure
Abstract. Protein design software places amino acid side chains by precomputing rotamer-pair energies and optimizing rotamer placement. If the software optimizes by rapid stochasti...
Andrew Leaver-Fay, Brian Kuhlman, Jack Snoeyink
171
Voted
GECCO
2006
Springer
165views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving musical performance profiles using genetic algorithms with structural fitness
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...
Qijun Zhang, Eduardo Reck Miranda
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 7 months ago
Handling dynamic data structures in search based testing
There has been little attention to search based test data generation in the presence of pointer inputs and dynamic data structures, an area in which recent concolic methods have e...
Kiran Lakhotia, Mark Harman, Phil McMinn
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
Post-Processing Hierarchical Community Structures: Quality Improvements and Multi-scale View
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...
Pascal Pons