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NN
2000
Springer
192views Neural Networks» more  NN 2000»
15 years 3 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
CONSTRAINTS
1998
112views more  CONSTRAINTS 1998»
15 years 3 months ago
Temporal Constraints: A Survey
Abstract. Temporal Constraint Satisfaction is an information technology useful for representing and answering queries about the times of events and the temporal relations between t...
Eddie Schwalb, Lluís Vila
PROCEDIA
2010
75views more  PROCEDIA 2010»
15 years 1 months ago
Two derivative-free optimization algorithms for mesh quality improvement
High-quality meshes are essential in the solution of partial differential equations (PDEs), which arise in numerous science and engineering applications, as the mesh quality aff...
Jeonghyung Park, Suzanne M. Shontz
128
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ICGI
2010
Springer
15 years 1 months ago
Exact DFA Identification Using SAT Solvers
Abstract. We present an exact algorithm for identification of deterministic finite automata (DFA) which is based on satisfiability (SAT) solvers. Despite the size of the low level ...
Marijn J. H. Heule, Sicco Verwer
TSP
2010
14 years 10 months ago
A low complexity blind estimator of narrowband polynomial phase signals
Consider the problem of estimating the parameters of multiple polynomial phase signals observed by a sensor array. In practice, it is difficult to maintain a precisely calibrated a...
Alon Amar, Amir Leshem, Alle-Jan van der Veen