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» The Robustness of Level Sets
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112
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SIAMJO
2008
104views more  SIAMJO 2008»
15 years 20 days ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
90
Voted
SPLC
2008
15 years 2 months ago
Automated Analysis of Feature Models Using Atomic Sets
Scalability is recognized as a key challenge in the automated analysis of Feature Models (FMs). Current solutions in this context mainly propose using different logic paradigms as...
Sergio Segura
89
Voted
ECIS
2000
15 years 2 months ago
Tailoring IT Education for Effective IT Professionals in a Third World Setting
Small group learning combined with innovative teaching methods were introduced at tertiary level to teach computer-related subjects. Teams wereconstituted according to Belbin'...
Isabella M. Venter, Renette J. Blignaut, Deon Stol...
ICCSA
2003
Springer
15 years 6 months ago
Robust Speaker Recognition Against Utterance Variations
A speaker model in speaker recognition system is to be trained from a large data set gathered in multiple sessions. Large data set requires large amount of memory and computation, ...
JongJoo Lee, JaeYeol Rheem, Ki Yong Lee
116
Voted
WSC
2001
15 years 2 months ago
Graphical methods for robust design of a semiconductor burn-in process
Discrete-event simulation is a common tool for the analysis of semiconductor manufacturing systems. With the aid of a simulation model, and in conjunction with sensitivity analysi...
Scott L. Rosen, Chad A. Geist, Daniel A. Finke, Jy...