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...
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...
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...
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. ...
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...