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» Optimization on Support Vector Machines
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BMCBI
2006
151views more  BMCBI 2006»
14 years 11 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
103
Voted
IJCAI
2007
15 years 9 days ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
72
Voted
ICML
2006
IEEE
15 years 11 months ago
Concept boundary detection for speeding up SVMs
Support Vector Machines (SVMs) suffer from an O(n2 ) training cost, where n denotes the number of training instances. In this paper, we propose an algorithm to select boundary ins...
Navneet Panda, Edward Y. Chang, Gang Wu
ICPR
2006
IEEE
15 years 12 months ago
Machine Learning for Video Compression: Macroblock Mode Decision
Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...
Christoph H. Lampert
93
Voted
CCGRID
2001
IEEE
15 years 2 months ago
OVM: Out-of-Order Execution Parallel Virtual Machine
High performance computing on parallel architectures currently uses different approaches depending on the hardory model of the architecture, the abstraction level of the programmi...
George Bosilca, Gilles Fedak, Franck Cappello