Matches in SemOpenAlex for { <https://semopenalex.org/work/W2139718878> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2139718878 abstract "A novel method is presented for model uncertainty estimation using machine learning techniques and its application in rainfall runoff modeling. In this method, first, the probability distribution of the model error is estimated separately for different hydrological situations and second, the parameters characterizing this distribution are aggregated and used as output target values for building the training sets for the machine learning model. This latter model, being trained, encapsulates the information about the model error localized for different hydrological conditions in the past and is used to estimate the probability distribution of the model error for the new hydrological model runs. The M5 model tree is used as a machine learning model. The method is tested to estimate uncertainty of a conceptual rainfall runoff model of the Bagmati catchment in Nepal. In this paper the method is extended further to enable it to predict an approximation of the whole error distribution, and also the new results of comparing this method to other uncertainty estimation approaches are reported. It can be concluded that the method generates consistent, interpretable and improved model uncertainty estimates." @default.
- W2139718878 created "2016-06-24" @default.
- W2139718878 creator A5012707523 @default.
- W2139718878 creator A5015835580 @default.
- W2139718878 date "2009-01-20" @default.
- W2139718878 modified "2023-10-14" @default.
- W2139718878 title "A novel method to estimate model uncertainty using machine learning techniques" @default.
- W2139718878 cites W1585408943 @default.
- W2139718878 cites W1594703822 @default.
- W2139718878 cites W1615539232 @default.
- W2139718878 cites W1980572078 @default.
- W2139718878 cites W1990701202 @default.
- W2139718878 cites W1991921673 @default.
- W2139718878 cites W1996210406 @default.
- W2139718878 cites W1996747841 @default.
- W2139718878 cites W2004630602 @default.
- W2139718878 cites W2018099770 @default.
- W2139718878 cites W2024485977 @default.
- W2139718878 cites W2025242337 @default.
- W2139718878 cites W2033904036 @default.
- W2139718878 cites W2036056913 @default.
- W2139718878 cites W2039698541 @default.
- W2139718878 cites W2041420198 @default.
- W2139718878 cites W2048110745 @default.
- W2139718878 cites W2055336003 @default.
- W2139718878 cites W2066148124 @default.
- W2139718878 cites W2082484980 @default.
- W2139718878 cites W2113076747 @default.
- W2139718878 cites W2119479037 @default.
- W2139718878 cites W2124738823 @default.
- W2139718878 cites W2139995385 @default.
- W2139718878 cites W2154938752 @default.
- W2139718878 cites W2158623734 @default.
- W2139718878 cites W2170100555 @default.
- W2139718878 cites W4211007335 @default.
- W2139718878 cites W4241653265 @default.
- W2139718878 doi "https://doi.org/10.1029/2008wr006839" @default.
- W2139718878 hasPublicationYear "2009" @default.
- W2139718878 type Work @default.
- W2139718878 sameAs 2139718878 @default.
- W2139718878 citedByCount "183" @default.
- W2139718878 countsByYear W21397188782012 @default.
- W2139718878 countsByYear W21397188782013 @default.
- W2139718878 countsByYear W21397188782014 @default.
- W2139718878 countsByYear W21397188782015 @default.
- W2139718878 countsByYear W21397188782016 @default.
- W2139718878 countsByYear W21397188782017 @default.
- W2139718878 countsByYear W21397188782018 @default.
- W2139718878 countsByYear W21397188782019 @default.
- W2139718878 countsByYear W21397188782020 @default.
- W2139718878 countsByYear W21397188782021 @default.
- W2139718878 countsByYear W21397188782022 @default.
- W2139718878 countsByYear W21397188782023 @default.
- W2139718878 crossrefType "journal-article" @default.
- W2139718878 hasAuthorship W2139718878A5012707523 @default.
- W2139718878 hasAuthorship W2139718878A5015835580 @default.
- W2139718878 hasBestOaLocation W21397188781 @default.
- W2139718878 hasConcept C119857082 @default.
- W2139718878 hasConcept C154945302 @default.
- W2139718878 hasConcept C32230216 @default.
- W2139718878 hasConcept C41008148 @default.
- W2139718878 hasConceptScore W2139718878C119857082 @default.
- W2139718878 hasConceptScore W2139718878C154945302 @default.
- W2139718878 hasConceptScore W2139718878C32230216 @default.
- W2139718878 hasConceptScore W2139718878C41008148 @default.
- W2139718878 hasIssue "12" @default.
- W2139718878 hasLocation W21397188781 @default.
- W2139718878 hasLocation W21397188782 @default.
- W2139718878 hasOpenAccess W2139718878 @default.
- W2139718878 hasPrimaryLocation W21397188781 @default.
- W2139718878 hasRelatedWork W2961085424 @default.
- W2139718878 hasRelatedWork W3046775127 @default.
- W2139718878 hasRelatedWork W3107474891 @default.
- W2139718878 hasRelatedWork W3170094116 @default.
- W2139718878 hasRelatedWork W3209574120 @default.
- W2139718878 hasRelatedWork W4205958290 @default.
- W2139718878 hasRelatedWork W4286629047 @default.
- W2139718878 hasRelatedWork W4306321456 @default.
- W2139718878 hasRelatedWork W4306674287 @default.
- W2139718878 hasRelatedWork W4224009465 @default.
- W2139718878 hasVolume "45" @default.
- W2139718878 isParatext "false" @default.
- W2139718878 isRetracted "false" @default.
- W2139718878 magId "2139718878" @default.
- W2139718878 workType "article" @default.