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COLT
1994
Springer
15 years 3 months ago
Learning Probabilistic Automata with Variable Memory Length
We propose and analyze a distribution learning algorithm for variable memory length Markov processes. These processes can be described by a subclass of probabilistic nite automata...
Dana Ron, Yoram Singer, Naftali Tishby
CAV
2010
Springer
243views Hardware» more  CAV 2010»
15 years 3 months ago
libalf: The Automata Learning Framework
d Abstract) Benedikt Bollig1 , Joost-Pieter Katoen2 , Carsten Kern2 , Martin Leucker3 , Daniel Neider2 , and David R. Piegdon2 1 LSV, ENS Cachan, CNRS, 2 RWTH Aachen University, 3 ...
Benedikt Bollig, Joost-Pieter Katoen, Carsten Kern...
ICFP
2005
ACM
15 years 11 months ago
Toward a general theory of names: binding and scope
High-level formalisms for reasoning about names and binding such uijn indices, various flavors of higher-order abstract syntax, ry of Contexts, and nominal abstract syntax address...
James Cheney
AHSWN
2010
177views more  AHSWN 2010»
14 years 12 months ago
Dynamic Point Coverage Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach
One way to prolong the lifetime of a wireless sensor network is to schedule the active times of sensor nodes, so that a node is active only when it is really needed. In the dynami...
Mehdi Esnaashari, Mohammad Reza Meybodi
TSMC
2008
146views more  TSMC 2008»
14 years 11 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé