Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920921098> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2920921098 endingPage "1437" @default.
- W2920921098 startingPage "1427" @default.
- W2920921098 abstract "Kernel methods have been successfully used in various domains to model nonlinear patterns. However, the structure of the kernels is typically handcrafted for each dataset based on the experience of the data analyst. In this paper, we present a novel technique to learn kernels that best fit the data. We exploit the measure-theoretic view of a shift-invariant kernel given by the Bochner's theorem, and automatically learn the measure in terms of a parameterized quantile function. This flexible black box quantile function, evaluated on Quasi-Monte Carlo samples, builds up quasi-random Fourier feature maps that can approximate arbitrary kernels. The proposed method is not only general enough to be used in any kernel machine, but can also be combined with other kernel design techniques. We learn expressive kernels on a variety of datasets, verifying the methods ability to automatically discover complex patterns without being guided by human expert knowledge." @default.
- W2920921098 created "2019-03-22" @default.
- W2920921098 creator A5033705811 @default.
- W2920921098 creator A5038103937 @default.
- W2920921098 creator A5043482412 @default.
- W2920921098 creator A5062619542 @default.
- W2920921098 date "2019-04-11" @default.
- W2920921098 modified "2023-09-26" @default.
- W2920921098 title "Black Box Quantiles for Kernel Learning" @default.
- W2920921098 cites W2031337030 @default.
- W2920921098 cites W2038982234 @default.
- W2920921098 cites W2797583072 @default.
- W2920921098 cites W2946508746 @default.
- W2920921098 hasPublicationYear "2019" @default.
- W2920921098 type Work @default.
- W2920921098 sameAs 2920921098 @default.
- W2920921098 citedByCount "4" @default.
- W2920921098 countsByYear W29209210982020 @default.
- W2920921098 countsByYear W29209210982021 @default.
- W2920921098 crossrefType "proceedings-article" @default.
- W2920921098 hasAuthorship W2920921098A5033705811 @default.
- W2920921098 hasAuthorship W2920921098A5038103937 @default.
- W2920921098 hasAuthorship W2920921098A5043482412 @default.
- W2920921098 hasAuthorship W2920921098A5062619542 @default.
- W2920921098 hasConcept C100595998 @default.
- W2920921098 hasConcept C105795698 @default.
- W2920921098 hasConcept C11413529 @default.
- W2920921098 hasConcept C118615104 @default.
- W2920921098 hasConcept C118671147 @default.
- W2920921098 hasConcept C119857082 @default.
- W2920921098 hasConcept C122280245 @default.
- W2920921098 hasConcept C12267149 @default.
- W2920921098 hasConcept C124101348 @default.
- W2920921098 hasConcept C134517425 @default.
- W2920921098 hasConcept C140417398 @default.
- W2920921098 hasConcept C153180895 @default.
- W2920921098 hasConcept C154945302 @default.
- W2920921098 hasConcept C165464430 @default.
- W2920921098 hasConcept C2780009758 @default.
- W2920921098 hasConcept C33923547 @default.
- W2920921098 hasConcept C41008148 @default.
- W2920921098 hasConcept C74193536 @default.
- W2920921098 hasConcept C94966114 @default.
- W2920921098 hasConceptScore W2920921098C100595998 @default.
- W2920921098 hasConceptScore W2920921098C105795698 @default.
- W2920921098 hasConceptScore W2920921098C11413529 @default.
- W2920921098 hasConceptScore W2920921098C118615104 @default.
- W2920921098 hasConceptScore W2920921098C118671147 @default.
- W2920921098 hasConceptScore W2920921098C119857082 @default.
- W2920921098 hasConceptScore W2920921098C122280245 @default.
- W2920921098 hasConceptScore W2920921098C12267149 @default.
- W2920921098 hasConceptScore W2920921098C124101348 @default.
- W2920921098 hasConceptScore W2920921098C134517425 @default.
- W2920921098 hasConceptScore W2920921098C140417398 @default.
- W2920921098 hasConceptScore W2920921098C153180895 @default.
- W2920921098 hasConceptScore W2920921098C154945302 @default.
- W2920921098 hasConceptScore W2920921098C165464430 @default.
- W2920921098 hasConceptScore W2920921098C2780009758 @default.
- W2920921098 hasConceptScore W2920921098C33923547 @default.
- W2920921098 hasConceptScore W2920921098C41008148 @default.
- W2920921098 hasConceptScore W2920921098C74193536 @default.
- W2920921098 hasConceptScore W2920921098C94966114 @default.
- W2920921098 hasLocation W29209210981 @default.
- W2920921098 hasOpenAccess W2920921098 @default.
- W2920921098 hasPrimaryLocation W29209210981 @default.
- W2920921098 hasRelatedWork W1516082955 @default.
- W2920921098 hasRelatedWork W1556694397 @default.
- W2920921098 hasRelatedWork W1557954956 @default.
- W2920921098 hasRelatedWork W15962362 @default.
- W2920921098 hasRelatedWork W1823600381 @default.
- W2920921098 hasRelatedWork W1951412505 @default.
- W2920921098 hasRelatedWork W1957492789 @default.
- W2920921098 hasRelatedWork W1974332525 @default.
- W2920921098 hasRelatedWork W2001173190 @default.
- W2920921098 hasRelatedWork W2037271062 @default.
- W2920921098 hasRelatedWork W2111121652 @default.
- W2920921098 hasRelatedWork W2202303789 @default.
- W2920921098 hasRelatedWork W2232554483 @default.
- W2920921098 hasRelatedWork W2261298172 @default.
- W2920921098 hasRelatedWork W2344026338 @default.
- W2920921098 hasRelatedWork W2509957612 @default.
- W2920921098 hasRelatedWork W2551469986 @default.
- W2920921098 hasRelatedWork W2982560266 @default.
- W2920921098 hasRelatedWork W3013206934 @default.
- W2920921098 hasRelatedWork W3015518715 @default.
- W2920921098 isParatext "false" @default.
- W2920921098 isRetracted "false" @default.
- W2920921098 magId "2920921098" @default.
- W2920921098 workType "article" @default.