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121
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AUTOMATICA
2008
98views more  AUTOMATICA 2008»
15 years 3 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
112
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IPM
2006
81views more  IPM 2006»
15 years 3 months ago
An implicit feedback approach for interactive information retrieval
Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this ar...
Ryen W. White, Joemon M. Jose, Ian Ruthven
126
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JCB
2006
185views more  JCB 2006»
15 years 3 months ago
Bayesian Sequential Inference for Stochastic Kinetic Biochemical Network Models
As postgenomic biology becomes more predictive, the ability to infer rate parameters of genetic and biochemical networks will become increasingly important. In this paper, we expl...
Andrew Golightly, Darren J. Wilkinson
JMLR
2006
115views more  JMLR 2006»
15 years 3 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...
122
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IJRR
2002
86views more  IJRR 2002»
15 years 3 months ago
An Experimental Robot Load Identification Method for Industrial Application
Abstract. This paper discusses a new experimental robot load identification method that is used in industry. The method is based on periodic robot excitation and the maximum likeli...
Jan Swevers, Walter Verdonck, Birgit Naumer, Stefa...