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» Selection of Generative Models in Classification
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IJCNN
2007
IEEE
15 years 4 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
KBSE
2008
IEEE
15 years 4 months ago
Rhizome: A Feature Modeling and Generation Platform
Rhizome is an end-to-end feature modeling and code generation platform that includes a feature modeling language (FeatureML), a template language (MarkerML) and a template-based c...
Guozheng Ge, E. James Whitehead Jr.
161
Voted
VLDB
2004
ACM
104views Database» more  VLDB 2004»
15 years 10 months ago
Retrieval effectiveness of an ontology-based model for information selection
Technology in the field of digital media generates huge amounts of nontextual information, audio, video, and images, along with more familiar textual information. The potential for...
Latifur Khan, Dennis McLeod, Eduard H. Hovy
JMLR
2002
106views more  JMLR 2002»
14 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
CVPR
2006
IEEE
15 years 11 months ago
Modeling and Classifying Breast Tissue Density in Mammograms
We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsu...
Anna Bosch, Arnau Oliver, Joan Martí, Xavie...