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» Compositionality for Probabilistic Automata
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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
14 years 1 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
ECML
2006
Springer
13 years 11 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...
FORTE
1996
13 years 8 months ago
Combined Application of SDL-92, OMT, MSC and TTCN
The paper describes the application of SDL-92[1] and OMT[2] to the design of a V5.x Access Network interface. While OMT is used to model the management aspects of the system, typi...
Eurico Inocêncio, Manuel Ricardo, Hitoshi Sa...
SIGPRO
2008
136views more  SIGPRO 2008»
13 years 7 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 2 months ago
Advice Coins for Classical and Quantum Computation
We study the power of classical and quantum algorithms equipped with nonuniform advice, in the form of a coin whose bias encodes useful information. This question takes on particu...
Scott Aaronson, Andrew Drucker