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ECAI
2010
Springer
15 years 5 months ago
Unsupervised Layer-Wise Model Selection in Deep Neural Networks
Abstract. Deep Neural Networks (DNN) propose a new and efficient ML architecture based on the layer-wise building of several representation layers. A critical issue for DNNs remain...
Ludovic Arnold, Hélène Paugam-Moisy,...
ICML
2010
IEEE
15 years 5 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
IJAMC
2008
99views more  IJAMC 2008»
15 years 4 months ago
Improving Educational Multimedia selection process using group decision support systems
Educational Multimedia (EMM) is becoming a mature and integral part of teaching and learning systems, mainly due to its ability improve teaching and learning. However, EMM selecti...
Mohammed N. A. Abdelhakim, Shervin Shirmohammadi
TASE
2008
IEEE
15 years 4 months ago
Sensor Selection in Arbitrary Dimensions
We address the sensor selection problem which arises in tracking and localization applications. In sensor selection, the goal is to select a small number of sensors whose measureme...
Volkan Isler, Malik Magdon-Ismail
BMCBI
2005
118views more  BMCBI 2005»
15 years 4 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken