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» Linear Dependent Dimensionality Reduction
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BMCBI
2010
224views more  BMCBI 2010»
13 years 7 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
AUTOMATICA
2006
160views more  AUTOMATICA 2006»
13 years 7 months ago
Boundary control of linearized Saint-Venant equations oscillating modes
Abstract-- The Saint-Venant equations describe the dynamics of one dimensional open-channel flow. The paper investigates linearized Saint-Venant equations modes and their control. ...
Xavier Litrico, Vincent Fromion
INFORMATICALT
2000
159views more  INFORMATICALT 2000»
13 years 7 months ago
The Calculation of Electrotonic Potential Half-Time and its Derivative in Respect to Distance in One- and Two-Dimensional RC Med
In this work the analytical expressions of half-time T1/2 and its derivatives in respect to distance T1/2/R in a one-dimensional RC medium (a current electrode has a shape of the s...
Romualdas Veteikis
AAAI
2012
11 years 10 months ago
Sparse Probabilistic Relational Projection
Probabilistic relational PCA (PRPCA) can learn a projection matrix to perform dimensionality reduction for relational data. However, the results learned by PRPCA lack interpretabi...
Wu-Jun Li, Dit-Yan Yeung
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Simple integrative preprocessing preserves what is shared in data sources
Background: Bioinformatics data analysis toolbox needs general-purpose, fast and easily interpretable preprocessing tools that perform data integration during exploratory data ana...
Abhishek Tripathi, Arto Klami, Samuel Kaski