FAQ

Multiple kernel learning

Known as: MKL 
Multiple kernel learning refers to a set of machine learning methods that use a predefined set of kernels and learn an optimal linear or non-linear… (More)
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Topic mentions per year

Topic mentions per year

2004-2018
05010020042018

Related topics

Related topics

11 relations

Broader (1)

Data mining
Elastic net regularizationGibbs samplingKernel methodMATLAB
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Related mentions per year

Related mentions per year

1938-2018
1960198020002020
Multiple kernel learning
Data mining
MATLAB
Support vector machine
Matrix regularization
Unsupervised learning

Papers overview

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Highly Cited
2012
Highly Cited
2012
Domain Transfer Multiple Kernel Learning
Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a… (More)
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Highly Cited
2011
Highly Cited
2011
lp-Norm Multiple Kernel Learning
Learning linear combinations of multiple kernels is an appealing strategy when the right choice of features is unknown. Previous… (More)
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Highly Cited
2011
Highly Cited
2011
Multiple Kernel Learning for Dimensionality Reduction
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a… (More)
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Highly Cited
2009
Highly Cited
2009
More generality in efficient multiple kernel learning
Recent advances in Multiple Kernel Learning (MKL) have positioned it as an attractive tool for tackling many supervised learning… (More)
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Highly Cited
2008
Highly Cited
2008
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination… (More)
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Highly Cited
2008
Highly Cited
2008
`p-Norm Multiple Kernel Learning
Learning linear combinations of multiple kernels is an appealing strategy when the right choice of features is unknown. Previous… (More)
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Highly Cited
2007
Highly Cited
2007
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to… (More)
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Highly Cited
2007
Highly Cited
2007
More efficiency in multiple kernel learning
An efficient and general multiple kernel learning (MKL) algorithm has been recently proposed by Sonnenburg et al. (2006). This… (More)
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Highly Cited
2006
Highly Cited
2006
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple… (More)
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Highly Cited
2004
Highly Cited
2004
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on… (More)
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