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AUTOMATICA
2008
98views more  AUTOMATICA 2008»
13 years 10 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...
ICAC
2008
IEEE
14 years 4 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
VVS
1996
IEEE
98views Visualization» more  VVS 1996»
14 years 2 months ago
Classification and Local Error Estimation of Interpolation and Derivative Filters for Volume Rendering
We describe a new method for analyzing, classifying, and evaluating filters, which can be applied to interpolation filters, and derivative filters. Our analysis is based on the Ta...
Torsten Möller, Raghu Machiraju, Klaus Muelle...
ICCBR
2009
Springer
14 years 4 months ago
Improving Reinforcement Learning by Using Case Based Heuristics
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
BMCBI
2010
127views more  BMCBI 2010»
13 years 10 months ago
PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
Khader Shameer, Lalima L. Madan, Shivamurthy Veera...