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152
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EOR
2008
200views more  EOR 2008»
15 years 6 months ago
General variable neighborhood search for the continuous optimization
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...
Nenad Mladenovic, Milan Drazic, Vera Kovacevic-Vuj...
RE
2006
Springer
15 years 6 months ago
Using Domain Ontology as Domain Knowledge for Requirements Elicitation
Domain knowledge is one of crucial factors to get a great success in requirements elicitation of high quality, and only domain experts, not requirements analysts, have it. We prop...
Haruhiko Kaiya, Motoshi Saeki
AUTOMATICA
2000
72views more  AUTOMATICA 2000»
15 years 6 months ago
Direct iterative tuning via spectral analysis
This paper introduces a nonparametric frequency-domain scheme for tuning closed-loop systems. A linear quadratic criterion is used for guiding the system towards an optimal-regula...
Leonardo C. Kammer, Robert R. Bitmead, Peter L. Ba...
TIT
1998
70views more  TIT 1998»
15 years 5 months ago
The Importance of Convexity in Learning with Squared Loss
We show that if the closureof a function class F under the metric induced by some probability distribution is not convex, then the sample complexity for agnostically learning F wi...
Wee Sun Lee, Peter L. Bartlett, Robert C. Williams...
139
Voted
MP
2007
89views more  MP 2007»
15 years 5 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...