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CEC
2003
IEEE
15 years 2 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
ISSTA
1998
ACM
15 years 1 months ago
Improving Efficiency of Symbolic Model Checking for State-Based System Requirements
We present various techniques for improving the time and space efficiency of symbolic model checking for system requirements specified as synchronous finite state machines. We use...
William Chan, Richard J. Anderson, Paul Beame, Dav...
ICCAD
1994
IEEE
134views Hardware» more  ICCAD 1994»
15 years 1 months ago
Boolean constrained encoding: a new formulation and a case study
1 This paper provides a new, generalized approach to the problem of encoding information as vectors of binary digits. We furnish a formal definition for the Boolean constrained enc...
Ney Laert Vilar Calazans
COLT
1992
Springer
15 years 1 months ago
On the Computational Power of Neural Nets
This paper deals with finite size networks which consist of interconnections of synchronously evolving processors. Each processor updates its state by applying a "sigmoidal&q...
Hava T. Siegelmann, Eduardo D. Sontag
IJCAI
1993
14 years 11 months ago
Learning Finite Automata Using Local Distinguishing Experiments
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
Wei-Mein Shen