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IJCAI
2001
13 years 11 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
TCIAIG
2010
13 years 5 months ago
The Parametrized Probabilistic Finite-State Transducer Probe Game Player Fingerprint Model
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
Jeffrey Tsang
APGV
2006
ACM
144views Visualization» more  APGV 2006»
14 years 2 months ago
Efficient selective rendering of participating media
Realistic image synthesis is the process of computing photorealistic images which are perceptually and measurably indistinguishable from real-world images. In order to obtain high...
Oscar Anson, Veronica Sundstedt, Diego Gutierrez, ...
CCE
2006
13 years 10 months ago
Global optimization for the synthesis of integrated water systems in chemical processes
In this paper, we address the problem of optimal synthesis of an integrated water system, where water using processes and water treatment operations are combined into a single net...
Ramkumar Karuppiah, Ignacio E. Grossmann
ICPR
2008
IEEE
14 years 11 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...