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153
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ICML
2009
IEEE
16 years 5 months ago
2009
IEEE
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning tasks. The development of efficient gradient desce...
121
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
123
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Even though several techniques have been proposed in the literature for achieving multiclass classification using Support Vector Machine(SVM), the scalability aspect of these appr...
154
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
103
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...