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» Randomness, Stochasticity and Approximations
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UAI
2004
15 years 7 months ago
Solving Factored MDPs with Continuous and Discrete Variables
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
AAAI
1998
15 years 7 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...
TVCG
2012
192views Hardware» more  TVCG 2012»
13 years 8 months ago
Real-Time Rendering of Rough Refraction
—We present an algorithm to render objects made of transparent materials with rough surfaces in real-time, under all-frequency distant illumination. Rough surfaces cause wide sca...
Charles de Rousiers, Adrien Bousseau, Kartic Subr,...
ICML
2006
IEEE
16 years 6 months ago
Hierarchical classification: combining Bayes with SVM
We study hierarchical classification in the general case when an instance could belong to more than one class node in the underlying taxonomy. Experiments done in previous work sh...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
ICTIR
2009
Springer
16 years 19 days ago
Modeling Expected Utility of Multi-session Information Distillation
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...
Yiming Yang, Abhimanyu Lad