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ALT
2010
Springer
15 years 2 months ago
A Lower Bound for Learning Distributions Generated by Probabilistic Automata
Known algorithms for learning PDFA can only be shown to run in time polynomial in the so-called distinguishability
Borja Balle, Jorge Castro, Ricard Gavaldà
COLT
2008
Springer
15 years 2 months ago
Learning Random Monotone DNF Under the Uniform Distribution
We show that randomly generated monotone c log(n)-DNF formula can be learned exactly in probabilistic polynomial time. Our notion of randomly generated is with respect to a unifor...
Linda Sellie
109
Voted
SEFM
2005
IEEE
15 years 6 months ago
Experimental Evaluation of FSM-Based Testing Methods
The development of test cases is an important issue for testing software, communication protocols and other reactive systems. A number of methods are known for the development of ...
Rita Dorofeeva, Nina Yevtushenko, Khaled El-Fakih,...