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220
Voted
JMLR
2006
15 years 6 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
154
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IFIP
2007
Springer
16 years 28 days ago
2007
Springer
Supervisory control and data acquisition (SCADA) systems are widely used to monitor and control operations in electrical power distribution facilities, oil and gas pipelines, water...
216
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COLING
2010
15 years 1 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
171
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
127
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ALT
2009
Springer
16 years 3 months ago
2009
Springer
We present a family of adaptive pairwise tournaments that are provably robust against large error fractions when used to determine the largest element in a set. The tournaments use...