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- Kernel_methods_for_vector_output abstract "Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate the properties of functions in a computationally efficient way and allow algorithms to easily swap functions of varying complexity.In typical machine learning algorithms, these functions produce a scalar output. Recent development of kernel methods for functions with vector-valued output is due, at least in part, to interest in simultaneously solving related problems. Kernels which capture the relationship between the problems allow them to borrow strength from each other. Algorithms of this type include multi-task learning (also called multi-output learning or vector-valued learning), transfer learning, and co-kriging. Multi-label classification can be interpreted as mapping inputs to (binary) coding vectors with length equal to the number of classes.In Gaussian processes, kernels are called covariance functions. Multiple-output functions correspond to considering multiple processes. See Bayesian interpretation of regularization for the connection between the two perspectives.".
- Kernel_methods_for_vector_output wikiPageID "42247256".
- Kernel_methods_for_vector_output wikiPageLength "25811".
- Kernel_methods_for_vector_output wikiPageOutDegree "27".
- Kernel_methods_for_vector_output wikiPageRevisionID "641477631".
- Kernel_methods_for_vector_output wikiPageWikiLink Bayesian_interpretation_of_kernel_regularization.
- Kernel_methods_for_vector_output wikiPageWikiLink Bayesian_interpretation_of_regularization.
- Kernel_methods_for_vector_output wikiPageWikiLink Block_matrix.
- Kernel_methods_for_vector_output wikiPageWikiLink Category:Kernel_methods_for_machine_learning.
- Kernel_methods_for_vector_output wikiPageWikiLink Category:Machine_learning_algorithms.
- Kernel_methods_for_vector_output wikiPageWikiLink Covariance_function.
- Kernel_methods_for_vector_output wikiPageWikiLink Cross-validation_(statistics).
- Kernel_methods_for_vector_output wikiPageWikiLink Curl_(mathematics).
- Kernel_methods_for_vector_output wikiPageWikiLink Divergence.
- Kernel_methods_for_vector_output wikiPageWikiLink Eigen_decomposition.
- Kernel_methods_for_vector_output wikiPageWikiLink Eigendecomposition_of_a_matrix.
- Kernel_methods_for_vector_output wikiPageWikiLink Gaussian_process.
- Kernel_methods_for_vector_output wikiPageWikiLink Graph_kernel.
- Kernel_methods_for_vector_output wikiPageWikiLink Inductive_transfer.
- Kernel_methods_for_vector_output wikiPageWikiLink Isometry.
- Kernel_methods_for_vector_output wikiPageWikiLink Kernel_method.
- Kernel_methods_for_vector_output wikiPageWikiLink Kernel_methods.
- Kernel_methods_for_vector_output wikiPageWikiLink Kernel_trick.
- Kernel_methods_for_vector_output wikiPageWikiLink Kriging.
- Kernel_methods_for_vector_output wikiPageWikiLink Laplacian_matrix.
- Kernel_methods_for_vector_output wikiPageWikiLink Machine_learning.
- Kernel_methods_for_vector_output wikiPageWikiLink Multi-label_classification.
- Kernel_methods_for_vector_output wikiPageWikiLink Multi-task_learning.
- Kernel_methods_for_vector_output wikiPageWikiLink Regularization_(mathematics).
- Kernel_methods_for_vector_output wikiPageWikiLink Representer_theorem.
- Kernel_methods_for_vector_output wikiPageWikiLink Reproducing_kernel_Hilbert_space.
- Kernel_methods_for_vector_output wikiPageWikiLink Tikhonov_regularization.
- Kernel_methods_for_vector_output wikiPageWikiLink Transformation_(function).
- Kernel_methods_for_vector_output wikiPageWikiLinkText "Kernel methods for vector output".
- Kernel_methods_for_vector_output wikiPageWikiLinkText "kernel methods for vector output".
- Kernel_methods_for_vector_output wikiPageWikiLinkText "multiple outputs".
- Kernel_methods_for_vector_output wikiPageWikiLinkText "multiple target variables".
- Kernel_methods_for_vector_output hasPhotoCollection Kernel_methods_for_vector_output.
- Kernel_methods_for_vector_output wikiPageUsesTemplate Template:Mvar.
- Kernel_methods_for_vector_output subject Category:Kernel_methods_for_machine_learning.
- Kernel_methods_for_vector_output subject Category:Machine_learning_algorithms.
- Kernel_methods_for_vector_output hypernym Tool.
- Kernel_methods_for_vector_output type Software.
- Kernel_methods_for_vector_output comment "Kernel methods are a well-established tool to analyze the relationship between input data and the corresponding output of a function. Kernels encapsulate the properties of functions in a computationally efficient way and allow algorithms to easily swap functions of varying complexity.In typical machine learning algorithms, these functions produce a scalar output.".
- Kernel_methods_for_vector_output label "Kernel methods for vector output".
- Kernel_methods_for_vector_output sameAs m.010865dt.
- Kernel_methods_for_vector_output sameAs Q17100712.
- Kernel_methods_for_vector_output sameAs Q17100712.
- Kernel_methods_for_vector_output wasDerivedFrom Kernel_methods_for_vector_output?oldid=641477631.
- Kernel_methods_for_vector_output isPrimaryTopicOf Kernel_methods_for_vector_output.