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» Temporal Data Classification Using Linear Classifiers
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AUSDM
2007
Springer
94views Data Mining» more  AUSDM 2007»
15 years 6 months ago
Classification for accuracy and insight: A weighted sum approach
This research presents a classifier that aims to provide insight into a dataset in addition to achieving classification accuracies comparable to other algorithms. The classifier c...
Anthony Quinn, Andrew Stranieri, John Yearwood
IEEECGIV
2009
IEEE
15 years 9 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
SIGKDD
2000
231views more  SIGKDD 2000»
15 years 2 months ago
KDD-99 Classifier Learning Contest: LLSoft's Results Overview
Kernel Miner is a new data-mining tool based on building the optimal decision forest. The tool won second place in the KDD'99 Classifier Learning Contest, August 1999. We des...
Itzhak Levin
ECIR
2003
Springer
15 years 3 months ago
A Machine Learning Approach for the Curation of Biomedical Literature
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...
HAIS
2008
Springer
15 years 3 months ago
Using CBR Systems for Leukemia Classification
The continuous advances in genomics, and specifically in the field of transcriptome, require novel computational solutions capable of dealing with great amounts of data. Each expre...
Juan M. Corchado, Juan Francisco de Paz