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TNN
1998
146views more  TNN 1998»
15 years 6 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou
PVLDB
2008
116views more  PVLDB 2008»
15 years 6 months ago
Accuracy estimate and optimization techniques for SimRank computation
The measure of similarity between objects is a very useful tool in many areas of computer science, including information retrieval. SimRank is a simple and intuitive measure of th...
Dmitry Lizorkin, Pavel Velikhov, Maxim N. Grinev, ...
EWC
2010
91views more  EWC 2010»
15 years 5 months ago
Multiobjective global surrogate modeling, dealing with the 5-percent problem
When dealing with computationally expensive simulation codes or process measurement data, surrogate modeling methods are firmly established as facilitators for design space explor...
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dh...
ICST
2010
IEEE
15 years 5 months ago
Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista
—Many factors are believed to increase the vulnerability of software system; for example, the more widely deployed or popular is a software system the more likely it is to be att...
Thomas Zimmermann, Nachiappan Nagappan, Laurie A. ...
ISCI
2010
211views more  ISCI 2010»
15 years 5 months ago
A new heuristic approach for non-convex optimization problems
In this work a new optimization method, called the heuristic Kalman algorithm (HKA), is presented. This new algorithm is proposed as an alternative approach for solving continuous,...
Rosario Toscano, Patrick Lyonnet