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ATAL
2007
Springer
14 years 2 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 8 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
CG
2008
Springer
13 years 8 months ago
Practical global illumination for interactive particle visualization
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
MP
2006
87views more  MP 2006»
13 years 8 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
ICTAC
2010
Springer
13 years 6 months ago
Scalable Distributed Concolic Testing: A Case Study on a Flash Storage Platform
Flash memory has become a virtually indispensable component for mobile devices in today’s information society. However, conventional testing methods often fail to detect hidden b...
Yunho Kim, Moonzoo Kim, Nam Dang