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» Using Goal-Models to Analyze Variability
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IANDC
2007
66views more  IANDC 2007»
13 years 8 months ago
Quantitative temporal logics over the reals: PSpace and below
In many cases, the addition of metric operators to qualitative temporal logics (TLs) increases the complexity of satisfiability by at least one exponential: while common qualitat...
Carsten Lutz, Dirk Walther, Frank Wolter
ENTCS
2002
97views more  ENTCS 2002»
13 years 8 months ago
Plan in Maude: Specifying an Active Network Programming Language
PLAN is a language designed for programming active networks, and can more generally be regarded as a model of mobile computation. PLAN generalizes the paradigm of imperative funct...
Mark-Oliver Stehr, Carolyn L. Talcott
NN
2000
Springer
165views Neural Networks» more  NN 2000»
13 years 8 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
TCOM
2008
118views more  TCOM 2008»
13 years 7 months ago
Performance analysis for collaborative decoding with least-reliable-bits exchange on AWGN channels
Collaborative decoding is an approach that can achieve diversity and combining gain by exchanging decoding information among a cluster of physically separated receivers. On AWGN ch...
Xin Li, Tan F. Wong, John M. Shea
APJOR
2010
118views more  APJOR 2010»
13 years 7 months ago
Alternative Randomization for Valuing American Options
This paper provides a fast and accurate randomization algorithm for valuing American puts and calls on dividend-paying stocks and their early exercise boundaries. The primal focus...
Toshikazu Kimura