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ISCIS
2005
Springer
16 years 13 days ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
16 years 9 days ago
A Tree-Based Approach to the Discovery of Diagnostic Biomarkers for Ovarian Cancer
Computational diagnosis of cancer is a classification problem, and it has two special requirements on a learning algorithm: perfect accuracy and small number of features used in t...
Jinyan Li, Kotagiri Ramamohanarao
CHI
2000
ACM
15 years 11 months ago
Bringing order to the Web: automatically categorizing search results
We developed a user interface that organizes Web search results into hierarchical categories. Text classification algorithms were used to automatically classify arbitrary search r...
Hao Chen, Susan T. Dumais
ICCD
1999
IEEE
110views Hardware» more  ICCD 1999»
15 years 11 months ago
TriMedia CPU64 Architecture
We present a new VLIW core as a successor to the TriMedia TM1000. The processor is targeted for embedded use in media-processing devices like DTVs and set-top boxes. Intended as a...
Jos T. J. van Eijndhoven, Kees A. Vissers, Evert-J...
ICPR
2010
IEEE
15 years 9 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With