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NN
2006
Springer
114views Neural Networks» more  NN 2006»
13 years 7 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
SIGPRO
2008
136views more  SIGPRO 2008»
13 years 7 months ago
Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
Venkatesh Rajagopalan, Subhadeep Chakraborty, Asok...
TIT
2008
147views more  TIT 2008»
13 years 7 months ago
On Codes, Matroids, and Secure Multiparty Computation From Linear Secret-Sharing Schemes
Error-correcting codes and matroids have been widely used in the study of ordinary secret sharing schemes. In this paper, the connections between codes, matroids, and a special cla...
Ronald Cramer, Vanesa Daza, Ignacio Gracia, Jorge ...
JCP
2007
127views more  JCP 2007»
13 years 7 months ago
Comparison of Simple Power Analysis Attack Resistant Algorithms for an Elliptic Curve Cryptosystem
Abstract— Side channel attacks such as Simple Power Analysis(SPA) attacks provide a new challenge for securing algorithms from an attacker. Algorithms for elliptic curve point sc...
Andrew Byrne, Nicolas Meloni, Arnaud Tisserand, Em...
TOPNOC
2008
13 years 7 months ago
McMillan's Complete Prefix for Contextual Nets
Abstract. In a seminal paper, McMillan proposed a technique for constructing a finite complete prefix of the unfolding of bounded (i.e., finitestate) Petri nets, which can be used ...
Paolo Baldan, Andrea Corradini, Barbara König...