936 search results - page 59 / 188 » Learning with Rigorous Support Vector Machines |
143
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AIME
2009
Springer
15 years 1 months ago
2009
Springer
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
168
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BMCBI
2011
14 years 10 months ago
2011
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
147
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NIPS
2001
15 years 5 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
152
Voted
ICAC
2006
IEEE
15 years 9 months ago
2006
IEEE
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
109
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ICANN
2009
Springer
15 years 8 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...