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» Parallel algorithms for modules of learning automata
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TSMC
1998
97views more  TSMC 1998»
13 years 4 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
TSMC
2002
156views more  TSMC 2002»
13 years 4 months ago
Varieties of learning automata: an overview
Automata models of learning systems introduced in the 1960s were popularized as learning automata (LA) in a survey paper in 1974 [1]. Since then, there have been many fundamental a...
M. A. L. Thathachar, P. Shanti Sastry
CONCUR
2006
Springer
13 years 8 months ago
Minimization, Learning, and Conformance Testing of Boolean Programs
Boolean programs with recursion are convenient abstractions of sequential imperative programs, and can be represented as recursive state machines (RSMs) or pushdown automata. Motiv...
Viraj Kumar, P. Madhusudan, Mahesh Viswanathan
IEEECIT
2009
IEEE
13 years 11 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
COLT
1994
Springer
13 years 8 months ago
An Optimal Parallel Algorithm for Learning DFA
: Sequential algorithms given by Angluin 1987 and Schapire 1992 learn deterministic nite automata DFA exactly from Membership and Equivalence queries. These algorithms are feasible...
José L. Balcázar, Josep Díaz,...