About: Multiple kernel learning

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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 combination of kernels as part of the algorithm. Reasons to use multiple kernel learning include a) the ability to select for an optimal kernel and parameters from a larger set of kernels, reducing bias due to kernel selection while allowing for more automated machine learning methods, and b) combining data from different sources (e.g. sound and images from a video) that have different notions of similarity and thus require different kernels. Instead of creating a new kernel, multiple kernel algorithms can be used to combine kernels already established for each individual data source.

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rdfs:label	Multiple kernel learning (en)
rdfs:comment	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 combination of kernels as part of the algorithm. Reasons to use multiple kernel learning include a) the ability to select for an optimal kernel and parameters from a larger set of kernels, reducing bias due to kernel selection while allowing for more automated machine learning methods, and b) combining data from different sources (e.g. sound and images from a video) that have different notions of similarity and thus require different kernels. Instead of creating a new kernel, multiple kernel algorithms can be used to combine kernels already established for each individual data source. (en)
dcterms:subject	Machine learning algorithms Data mining
Wikipage page ID	44635680 (xsd:integer)
Wikipage revision ID	1062901989 (xsd:integer)
Link from a Wikipage to another Wikipage	Elastic net regularization Proximal gradient methods for learning Gradient descent MATLAB Structural risk minimization Kernel method Machine learning algorithms Data mining Support vector machine Tikhonov regularization Kullback-Leibler divergence Unsupervised learning Gibbs sampling Multinomial probit Semisupervised learning Reproducing kernel Hilbert spaces
Link from a Wikipage to an external page	http://www.cs.cornell.edu/~ashesh/pubs/code/SPG-GMKL/download.html http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html http://research.microsoft.com/en-us/um/people/manik/code/GMKL/download.html http://research.microsoft.com/en-us/um/people/manik/code/smo-mkl/download.html https://archive.today/20141208195618/http:/appsrv.cse.cuhk.edu.hk/~hqyang/doku.php%3Fid=gmkl https://pypi.python.org/pypi/MKLpy
sameAs	Multiple kernel learning Multiple kernel learning Multiple kernel learning
dbp:wikiPageUsesTemplate	dbt:Reflist dbt:Machine_learning_bar
has abstract	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 combination of kernels as part of the algorithm. Reasons to use multiple kernel learning include a) the ability to select for an optimal kernel and parameters from a larger set of kernels, reducing bias due to kernel selection while allowing for more automated machine learning methods, and b) combining data from different sources (e.g. sound and images from a video) that have different notions of similarity and thus require different kernels. Instead of creating a new kernel, multiple kernel algorithms can be used to combine kernels already established for each individual data source. Multiple kernel learning approaches have been used in many applications, such as event recognition in video, object recognition in images, and biomedical data fusion. (en)
prov:wasDerivedFrom	wikipedia-en:Multiple_kernel_learning?oldid=1062901989&ns=0
page length (characters) of wiki page	16270 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Multiple_kernel_learning
is Link from a Wikipage to another Wikipage of	Unsupervised multiple kernel learning Matrix regularization MKL Outline of machine learning Structured sparsity regularization Algorithms for multiple kernel learning
is Wikipage redirect of	Unsupervised multiple kernel learning Algorithms for multiple kernel learning
is Wikipage disambiguates of	MKL
is foaf:primaryTopic of	wikipedia-en:Multiple_kernel_learning

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