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- Fisher_kernel abstract "In statistical classification, the Fisher kernel, named after Ronald Fisher, is a function that measures the similarity of two objects on the basis of sets of measurements for each object and a statistical model. In a classification procedure, the class for a new object (whose real class is unknown) can be estimated by minimising, across classes, an average of the Fisher kernel distance from the new object to each known member of the given class.The Fisher kernel was introduced in 1998. It combines the advantages of generative statistical models (like the hidden Markov model) and those of discriminative methods (like support vector machines): generative models can process data of variable length (adding or removing data is well-supported) discriminative methods can have flexible criteria and yield better results.↑".
- Fisher_kernel thumbnail Biologist_and_statistician_Ronald_Fisher.jpg?width=300.
- Fisher_kernel wikiPageExternalLink www.support-vector.net.
- Fisher_kernel wikiPageID "6855527".
- Fisher_kernel wikiPageLength "3972".
- Fisher_kernel wikiPageOutDegree "17".
- Fisher_kernel wikiPageRevisionID "676463724".
- Fisher_kernel wikiPageWikiLink Bag-of-words_model_in_computer_vision.
- Fisher_kernel wikiPageWikiLink Category:Kernel_methods_for_machine_learning.
- Fisher_kernel wikiPageWikiLink Fisher_information.
- Fisher_kernel wikiPageWikiLink Fisher_information_metric.
- Fisher_kernel wikiPageWikiLink Generative_model.
- Fisher_kernel wikiPageWikiLink Hidden_Markov_model.
- Fisher_kernel wikiPageWikiLink Likelihood_function.
- Fisher_kernel wikiPageWikiLink Naive_Bayes_classifier.
- Fisher_kernel wikiPageWikiLink Probabilistic_latent_semantic_analysis.
- Fisher_kernel wikiPageWikiLink Ronald_Fisher.
- Fisher_kernel wikiPageWikiLink Score_(statistics).
- Fisher_kernel wikiPageWikiLink Similarity_measure.
- Fisher_kernel wikiPageWikiLink Statistical_classification.
- Fisher_kernel wikiPageWikiLink Support_vector_machine.
- Fisher_kernel wikiPageWikiLink Tf–idf.
- Fisher_kernel wikiPageWikiLink File:Biologist_and_statistician_Ronald_Fisher.jpg.
- Fisher_kernel wikiPageWikiLinkText "Fisher kernel".
- Fisher_kernel subject Category:Kernel_methods_for_machine_learning.
- Fisher_kernel hypernym Function.
- Fisher_kernel type Disease.
- Fisher_kernel type Method.
- Fisher_kernel comment "In statistical classification, the Fisher kernel, named after Ronald Fisher, is a function that measures the similarity of two objects on the basis of sets of measurements for each object and a statistical model. In a classification procedure, the class for a new object (whose real class is unknown) can be estimated by minimising, across classes, an average of the Fisher kernel distance from the new object to each known member of the given class.The Fisher kernel was introduced in 1998.".
- Fisher_kernel label "Fisher kernel".
- Fisher_kernel sameAs Q8563425.
- Fisher_kernel sameAs m.025v02h.
- Fisher_kernel sameAs Q8563425.
- Fisher_kernel wasDerivedFrom Fisher_kernel?oldid=676463724.
- Fisher_kernel depiction Biologist_and_statistician_Ronald_Fisher.jpg.
- Fisher_kernel isPrimaryTopicOf Fisher_kernel.