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» Combining Variable Selection with Dimensionality Reduction
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AUSDM
2006
Springer
137views Data Mining» more  AUSDM 2006»
14 years 1 months ago
A Study of Local and Global Thresholding Techniques in Text Categorization
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Na...
ICML
2008
IEEE
14 years 10 months ago
Expectation-maximization for sparse and non-negative PCA
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
Christian D. Sigg, Joachim M. Buhmann
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 7 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
BMCBI
2010
126views more  BMCBI 2010»
13 years 10 months ago
A boosting method for maximizing the partial area under the ROC curve
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
Osamu Komori, Shinto Eguchi
ISLPED
2009
ACM
127views Hardware» more  ISLPED 2009»
14 years 4 months ago
Nanometer MOSFET effects on the minimum-energy point of 45nm subthreshold logic
In this paper, we observe that minimum energy Emin of subthreshold logic dramatically increases when reaching 45 nm node. We demonstrate by circuit simulation and analytical model...
David Bol, Dina Kamel, Denis Flandre, Jean-Didier ...