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- Kernel_method abstract "In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The general task of pattern analysis is to find and study general types of relations (for example clusters, rankings, principal components, correlations, classifications) in datasets. For many algorithms that solve these tasks, the data in raw representation have to be explicitly transformed into feature vector representations via a user-specified feature map: in contrast, kernel methods require only a user-specified kernel, i.e., a similarity function over pairs of data points in raw representation.Kernel methods owe their name to the use of kernel functions, which enable them to operate in a high-dimensional, implicit feature space without ever computing the coordinates of the data in that space, but rather by simply computing the inner products between the images of all pairs of data in the feature space. This operation is often computationally cheaper than the explicit computation of the coordinates. This approach is called the \"kernel trick\". Kernel functions have been introduced for sequence data, graphs, text, images, as well as vectors.Algorithms capable of operating with kernels include the kernel perceptron, support vector machines (SVM), Gaussian processes, principal components analysis (PCA), canonical correlation analysis, ridge regression, spectral clustering, linear adaptive filters and many others. Any linear model can be turned into a non-linear model by applying the kernel trick to the model: replacing its features (predictors) by a kernel function.Most kernel algorithms are based on convex optimization or eigenproblems and are statistically well-founded. Typically, their statistical properties are analyzed using statistical learning theory (for example, using Rademacher complexity).".
- Kernel_method wikiPageExternalLink ?n=Main.KernelMethods.
- Kernel_method wikiPageExternalLink www.kernel-machines.org.
- Kernel_method wikiPageExternalLink www.support-vector-machines.org.
- Kernel_method wikiPageID "3424576".
- Kernel_method wikiPageLength "11407".
- Kernel_method wikiPageOutDegree "68".
- Kernel_method wikiPageRevisionID "702914321".
- Kernel_method wikiPageWikiLink 3D_reconstruction.
- Kernel_method wikiPageWikiLink Adaptive_filter.
- Kernel_method wikiPageWikiLink Artificial_neural_network.
- Kernel_method wikiPageWikiLink Binary_classification.
- Kernel_method wikiPageWikiLink Bioinformatics.
- Kernel_method wikiPageWikiLink Canonical_correlation.
- Kernel_method wikiPageWikiLink Category:Classification_algorithms.
- Kernel_method wikiPageWikiLink Category:Geostatistics.
- Kernel_method wikiPageWikiLink Category:Kernel_methods_for_machine_learning.
- Kernel_method wikiPageWikiLink Cheminformatics.
- Kernel_method wikiPageWikiLink Cluster_analysis.
- Kernel_method wikiPageWikiLink Convex_optimization.
- Kernel_method wikiPageWikiLink Correlation_and_dependence.
- Kernel_method wikiPageWikiLink Counting_measure.
- Kernel_method wikiPageWikiLink Covariance_function.
- Kernel_method wikiPageWikiLink Covariance_matrix.
- Kernel_method wikiPageWikiLink Decision_boundary.
- Kernel_method wikiPageWikiLink Eigenvalues_and_eigenvectors.
- Kernel_method wikiPageWikiLink Feature_vector.
- Kernel_method wikiPageWikiLink Fisher_kernel.
- Kernel_method wikiPageWikiLink Gaussian_process.
- Kernel_method wikiPageWikiLink Geostatistics.
- Kernel_method wikiPageWikiLink Gramian_matrix.
- Kernel_method wikiPageWikiLink Graph_kernel.
- Kernel_method wikiPageWikiLink Handwriting_recognition.
- Kernel_method wikiPageWikiLink Information_extraction.
- Kernel_method wikiPageWikiLink Inner_product_space.
- Kernel_method wikiPageWikiLink Instance-based_learning.
- Kernel_method wikiPageWikiLink Integral.
- Kernel_method wikiPageWikiLink Inverse_distance_weighting.
- Kernel_method wikiPageWikiLink Kernel_methods_for_vector_output.
- Kernel_method wikiPageWikiLink Kernel_perceptron.
- Kernel_method wikiPageWikiLink Kriging.
- Kernel_method wikiPageWikiLink Linear_model.
- Kernel_method wikiPageWikiLink Machine_learning.
- Kernel_method wikiPageWikiLink Measure_(mathematics).
- Kernel_method wikiPageWikiLink Mercers_condition.
- Kernel_method wikiPageWikiLink Mercers_theorem.
- Kernel_method wikiPageWikiLink Pattern_recognition.
- Kernel_method wikiPageWikiLink Polynomial_kernel.
- Kernel_method wikiPageWikiLink Positive-definite_kernel.
- Kernel_method wikiPageWikiLink Positive-definite_matrix.
- Kernel_method wikiPageWikiLink Principal_component_analysis.
- Kernel_method wikiPageWikiLink Rademacher_complexity.
- Kernel_method wikiPageWikiLink Radial_basis_function_kernel.
- Kernel_method wikiPageWikiLink Ranking.
- Kernel_method wikiPageWikiLink Sign_function.
- Kernel_method wikiPageWikiLink Similarity_measure.
- Kernel_method wikiPageWikiLink Spectral_clustering.
- Kernel_method wikiPageWikiLink Statistical_classification.
- Kernel_method wikiPageWikiLink Statistical_learning_theory.
- Kernel_method wikiPageWikiLink String_kernel.
- Kernel_method wikiPageWikiLink Support_vector_machine.
- Kernel_method wikiPageWikiLink Tikhonov_regularization.
- Kernel_method wikiPageWikiLinkText "Kernel method".
- Kernel_method wikiPageWikiLinkText "kernel machines".
- Kernel_method wikiPageWikiLinkText "kernel method".
- Kernel_method wikiPageWikiLinkText "kernel".
- Kernel_method wikiPageWikiLinkText "kernelized".
- Kernel_method wikiPageWikiLinkText "kernels".
- Kernel_method wikiPageUsesTemplate Template:Cite_book.
- Kernel_method wikiPageUsesTemplate Template:Machine_learning_bar.
- Kernel_method wikiPageUsesTemplate Template:More_footnotes.
- Kernel_method wikiPageUsesTemplate Template:Mvar.
- Kernel_method wikiPageUsesTemplate Template:Reflist.
- Kernel_method subject Category:Classification_algorithms.
- Kernel_method subject Category:Geostatistics.
- Kernel_method subject Category:Kernel_methods_for_machine_learning.
- Kernel_method hypernym Algorithms.
- Kernel_method type Type.
- Kernel_method type Algorithm.
- Kernel_method type Field.
- Kernel_method type Method.
- Kernel_method type Redirect.
- Kernel_method type Subfield.
- Kernel_method type Type.
- Kernel_method comment "In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best known member is the support vector machine (SVM). The general task of pattern analysis is to find and study general types of relations (for example clusters, rankings, principal components, correlations, classifications) in datasets.".
- Kernel_method label "Kernel method".
- Kernel_method sameAs Q620622.
- Kernel_method sameAs Kernel_(Maschinelles_Lernen).
- Kernel_method sameAs Astuce_du_noyau.
- Kernel_method sameAs Metodi_Kernel.
- Kernel_method sameAs カーネル法.
- Kernel_method sameAs m.09bs7j.
- Kernel_method sameAs Ядрові_методи.
- Kernel_method sameAs Q620622.
- Kernel_method wasDerivedFrom Kernel_method?oldid=702914321.
- Kernel_method isPrimaryTopicOf Kernel_method.