1012 search results - page 92 / 203 » A Learning Classifier Approach to Tomography |
137
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COLT
2008
Springer
15 years 5 months ago
2008
Springer
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
133
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ICML
2009
IEEE
15 years 1 months ago
2009
IEEE
We address the problem of learning classifiers using several kernel functions. On the contrary to many contributions in the field of learning from different sources of information...
141
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
161
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TNN
2008
15 years 4 months ago
2008
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...
130
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...