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» Margin based feature selection - theory and algorithms
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SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
14 years 1 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
IDA
2002
Springer
13 years 7 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
CCR
2006
114views more  CCR 2006»
13 years 7 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...
ICIP
2009
IEEE
14 years 8 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...
EVOW
2006
Springer
13 years 11 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...