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100
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ICML
2006
IEEE
15 years 3 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
14 years 4 months ago
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
72
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CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test vector and each of the support vectors. For a class of kernels we show that one can ...
189
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VLDB
2007
ACM
15 years 10 months ago
2007
ACM
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
DATAMINE
1998
14 years 9 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...