Matches in SemOpenAlex for { <https://semopenalex.org/work/W2149764047> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W2149764047 abstract "This paper presents a novel Gaussian process (GP) approach to regression with input-dependent noise rates. We follow Goldberg et al.'s approach and model the noise variance using a second GP in addition to the GP governing the noise-free output value. In contrast to Goldberg et al., however, we do not use a Markov chain Monte Carlo method to approximate the posterior noise variance but a most likely noise approach. The resulting model is easy to implement and can directly be used in combination with various existing extensions of the standard GPs such as sparse approximations. Extensive experiments on both synthetic and real-world data, including a challenging perception problem in robotics, show the effectiveness of most likely heteroscedastic GP regression." @default.
- W2149764047 created "2016-06-24" @default.
- W2149764047 creator A5037636074 @default.
- W2149764047 creator A5045158300 @default.
- W2149764047 creator A5084071835 @default.
- W2149764047 creator A5084499878 @default.
- W2149764047 date "2007-06-20" @default.
- W2149764047 modified "2023-10-14" @default.
- W2149764047 title "Most likely heteroscedastic Gaussian process regression" @default.
- W2149764047 cites W1557550410 @default.
- W2149764047 cites W1974385572 @default.
- W2149764047 cites W1997595052 @default.
- W2149764047 cites W2024228246 @default.
- W2149764047 cites W2055825262 @default.
- W2149764047 cites W2161920802 @default.
- W2149764047 cites W3123551093 @default.
- W2149764047 cites W4211049957 @default.
- W2149764047 doi "https://doi.org/10.1145/1273496.1273546" @default.
- W2149764047 hasPublicationYear "2007" @default.
- W2149764047 type Work @default.
- W2149764047 sameAs 2149764047 @default.
- W2149764047 citedByCount "236" @default.
- W2149764047 countsByYear W21497640472012 @default.
- W2149764047 countsByYear W21497640472013 @default.
- W2149764047 countsByYear W21497640472014 @default.
- W2149764047 countsByYear W21497640472015 @default.
- W2149764047 countsByYear W21497640472016 @default.
- W2149764047 countsByYear W21497640472017 @default.
- W2149764047 countsByYear W21497640472018 @default.
- W2149764047 countsByYear W21497640472019 @default.
- W2149764047 countsByYear W21497640472020 @default.
- W2149764047 countsByYear W21497640472021 @default.
- W2149764047 countsByYear W21497640472022 @default.
- W2149764047 countsByYear W21497640472023 @default.
- W2149764047 crossrefType "proceedings-article" @default.
- W2149764047 hasAuthorship W2149764047A5037636074 @default.
- W2149764047 hasAuthorship W2149764047A5045158300 @default.
- W2149764047 hasAuthorship W2149764047A5084071835 @default.
- W2149764047 hasAuthorship W2149764047A5084499878 @default.
- W2149764047 hasConcept C101104100 @default.
- W2149764047 hasConcept C105795698 @default.
- W2149764047 hasConcept C11413529 @default.
- W2149764047 hasConcept C115961682 @default.
- W2149764047 hasConcept C119857082 @default.
- W2149764047 hasConcept C121332964 @default.
- W2149764047 hasConcept C121955636 @default.
- W2149764047 hasConcept C144133560 @default.
- W2149764047 hasConcept C153180895 @default.
- W2149764047 hasConcept C154945302 @default.
- W2149764047 hasConcept C163716315 @default.
- W2149764047 hasConcept C196083921 @default.
- W2149764047 hasConcept C33923547 @default.
- W2149764047 hasConcept C41008148 @default.
- W2149764047 hasConcept C4199805 @default.
- W2149764047 hasConcept C61326573 @default.
- W2149764047 hasConcept C62520636 @default.
- W2149764047 hasConcept C99498987 @default.
- W2149764047 hasConceptScore W2149764047C101104100 @default.
- W2149764047 hasConceptScore W2149764047C105795698 @default.
- W2149764047 hasConceptScore W2149764047C11413529 @default.
- W2149764047 hasConceptScore W2149764047C115961682 @default.
- W2149764047 hasConceptScore W2149764047C119857082 @default.
- W2149764047 hasConceptScore W2149764047C121332964 @default.
- W2149764047 hasConceptScore W2149764047C121955636 @default.
- W2149764047 hasConceptScore W2149764047C144133560 @default.
- W2149764047 hasConceptScore W2149764047C153180895 @default.
- W2149764047 hasConceptScore W2149764047C154945302 @default.
- W2149764047 hasConceptScore W2149764047C163716315 @default.
- W2149764047 hasConceptScore W2149764047C196083921 @default.
- W2149764047 hasConceptScore W2149764047C33923547 @default.
- W2149764047 hasConceptScore W2149764047C41008148 @default.
- W2149764047 hasConceptScore W2149764047C4199805 @default.
- W2149764047 hasConceptScore W2149764047C61326573 @default.
- W2149764047 hasConceptScore W2149764047C62520636 @default.
- W2149764047 hasConceptScore W2149764047C99498987 @default.
- W2149764047 hasLocation W21497640471 @default.
- W2149764047 hasOpenAccess W2149764047 @default.
- W2149764047 hasPrimaryLocation W21497640471 @default.
- W2149764047 hasRelatedWork W2038165226 @default.
- W2149764047 hasRelatedWork W2052845382 @default.
- W2149764047 hasRelatedWork W2148483050 @default.
- W2149764047 hasRelatedWork W2351648145 @default.
- W2149764047 hasRelatedWork W2572355887 @default.
- W2149764047 hasRelatedWork W2916152223 @default.
- W2149764047 hasRelatedWork W3124109721 @default.
- W2149764047 hasRelatedWork W3148934225 @default.
- W2149764047 hasRelatedWork W4254549582 @default.
- W2149764047 hasRelatedWork W1676609285 @default.
- W2149764047 isParatext "false" @default.
- W2149764047 isRetracted "false" @default.
- W2149764047 magId "2149764047" @default.
- W2149764047 workType "article" @default.