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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
14 years 7 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
BMCBI
2010
201views more  BMCBI 2010»
14 years 10 months ago
Analysis of X-ray Structures of Matrix Metalloproteinases via Chaotic Map Clustering
Background: Matrix metalloproteinases (MMPs) are well-known biological targets implicated in tumour progression, homeostatic regulation, innate immunity, impaired delivery of pro-...
Ilenia Giangreco, Orazio Nicolotti, Angelo Carotti...
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
14 years 10 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
EVOW
2004
Springer
15 years 3 months ago
Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...
Enrique Alba, Bernabé Dorronsoro
AAAI
1998
14 years 11 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore