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» Variable selection using neural-network models
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CCE
2011
14 years 4 months ago
Development and validation of a dynamic model for regeneration of passivating baths using membrane contactors
Selective liquid membranes have been traditionally employed for liquid/liquid and gas/liquid mass transfer in a wide range of applications. In particular, the Emulsion Pertraction...
Eugenio Bringas, Rosa Mediavilla, Ana María...
CSDA
2006
304views more  CSDA 2006»
14 years 9 months ago
Using principal components for estimating logistic regression with high-dimensional multicollinear data
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
Ana M. Aguilera, Manuel Escabias, Mariano J. Valde...
CORR
2007
Springer
82views Education» more  CORR 2007»
14 years 9 months ago
Sorting and Selection with Random Costs
There is a growing body of work on sorting and selection in models other than the unit-cost comparison model. This work treats a natural stochastic variant of the problem where the...
Stanislav Angelov, Keshav Kunal, Andrew McGregor
BIOCOMP
2008
14 years 11 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
JMLR
2010
93views more  JMLR 2010»
14 years 4 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing