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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 26 days ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
ICST
2009
IEEE
15 years 4 months ago
An Evaluation of Model Checkers for Specification Based Test Case Generation
Under certain constraints the test case generation problem can be represented as a model checking problem, thus enabling the use of powerful model checking tools to perform the te...
Gordon Fraser, Angelo Gargantini
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
15 years 7 months ago
Structure and parameter estimation for cell systems biology models
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Francisco José Romero-Campero, Hongqing Cao...
ECML
2006
Springer
15 years 10 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...