166 search results - page 9 / 34 » Learning of Event-Recording Automata |
TSMC
1998
13 years 8 months ago
1998
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
ICGI
1998
Springer
14 years 19 days ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
ICMLA
2004
13 years 9 months ago
2004
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
COLT
1994
Springer
14 years 15 days ago
1994
Springer
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...