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BMCBI
2010
84views more  BMCBI 2010»
13 years 5 months ago
Testing the additional predictive value of high-dimensional molecular data
Background: While high-dimensional molecular data such as microarray gene expression data have been used for disease outcome prediction or diagnosis purposes for about ten years i...
Anne-Laure Boulesteix, Torsten Hothorn
ICALP
2009
Springer
14 years 6 months ago
Learning Halfspaces with Malicious Noise
We give new algorithms for learning halfspaces in the challenging malicious noise model, where an adversary may corrupt both the labels and the underlying distribution of examples....
Adam R. Klivans, Philip M. Long, Rocco A. Servedio
BMCBI
2006
201views more  BMCBI 2006»
13 years 5 months ago
Gene selection algorithms for microarray data based on least squares support vector machine
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
14 years 7 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
DFG
2004
Springer
13 years 9 months ago
Modeling and Formal Verification of Production Automation Systems
This paper presents the real-time model checker RAVEN and related theoretical background. RAVEN augments the efficiency of traditional symbolic model checking with possibilities to...
Jürgen Ruf, Roland J. Weiss, Thomas Kropf, Wo...