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148
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PRL
2010
149views more  PRL 2010»
14 years 10 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
WSC
2008
15 years 6 months ago
Linking ergonomics simulation to production process development
Production development can conflict with production ergonomics and management of environmental impacts. In this paper, we describe how ergonomics can be assessed in production sys...
Salla Lind, Boris Krassi, Juhani Viitaniemi, Sauli...
BMCBI
2005
114views more  BMCBI 2005»
15 years 3 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
CCE
2006
15 years 4 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
124
Voted
DSRT
2008
IEEE
15 years 10 months ago
Observability Checking to Enhance Diagnosis of Real Time Electronic Systems
This paper describes a new property checking approach in order to enhance the diagnosis ability of an electronic embedded system, included in an automotive application. We conside...
Manel Khlif, Mohamed Shawky