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» Identification of mixed linear nonlinear state-space models
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ICML
2006
IEEE
14 years 6 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
13 years 11 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
CCE
2010
13 years 2 months ago
Combined mass and energy integration in process design at the example of membrane-based gas separation systems
This paper presents an approach for combined mass and energy integration in process synthesis and illustrates it at the thermochemical production of crude synthetic natural gas (S...
Martin Gassner, François Maréchal
ARC
2007
Springer
152views Hardware» more  ARC 2007»
13 years 5 months ago
Statistical signal processing approaches to fault detection
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
Fredrik Gustafsson
BMCBI
2010
113views more  BMCBI 2010»
13 years 5 months ago
ProbABEL package for genome-wide association analysis of imputed data
Background: Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, impute...
Yurii S. Aulchenko, Maksim V. Struchalin, Cornelia...