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» Using Goal-Models to Analyze Variability
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IANDC
2007
66views more  IANDC 2007»
14 years 11 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»
14 years 11 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»
14 years 11 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»
14 years 10 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»
14 years 10 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