Matches in SemOpenAlex for { <https://semopenalex.org/work/W1569199447> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W1569199447 abstract "The bias-variance decomposition of error provides useful insights into the error performance of a classifier as it is applied to different types of learning task. Most notably, it has been used to explain the extraordinary effectiveness of ensemble learning techniques. It is important that the research community have effective tools for assessing such explanations. To this end, techniques have been developed for estimating bias and variance from data. The most widely deployed of these uses repeated sub-sampling with a holdout set. We argue, with empirical support, that this approach has serious limitations. First, it provides very little flexibility in the types of distributions of training sets that may be studied. It requires that the training sets be relatively small and that the degree of variation between training sets be very circumscribed. Second, the approach leads to bias and variance estimates that have high statistical variance and hence low reliability. We develop an alternative method that is based on cross-validation. We show that this method allows far greater flexibility in the types of distribution that are examined and that the estimates derived are much more stable. Finally, we show that changing the distributions of training sets from which bias and variance estimates are drawn can alter substantially the bias and variance estimates that are derived." @default.
- W1569199447 created "2016-06-24" @default.
- W1569199447 creator A5058054791 @default.
- W1569199447 creator A5080230538 @default.
- W1569199447 date "2003-01-01" @default.
- W1569199447 modified "2023-09-24" @default.
- W1569199447 title "Estimating bias and variance from data" @default.
- W1569199447 cites W1500698297 @default.
- W1569199447 cites W1516193414 @default.
- W1569199447 cites W1521062204 @default.
- W1569199447 cites W1572964175 @default.
- W1569199447 cites W1608287078 @default.
- W1569199447 cites W1608401492 @default.
- W1569199447 cites W1681488479 @default.
- W1569199447 cites W2017337590 @default.
- W1569199447 cites W2076118331 @default.
- W1569199447 cites W2108949035 @default.
- W1569199447 cites W2113001205 @default.
- W1569199447 cites W2123504579 @default.
- W1569199447 cites W2125055259 @default.
- W1569199447 cites W2132849374 @default.
- W1569199447 cites W2152761983 @default.
- W1569199447 cites W2153428419 @default.
- W1569199447 cites W2167277498 @default.
- W1569199447 cites W2912573428 @default.
- W1569199447 cites W2912934387 @default.
- W1569199447 cites W1590444415 @default.
- W1569199447 hasPublicationYear "2003" @default.
- W1569199447 type Work @default.
- W1569199447 sameAs 1569199447 @default.
- W1569199447 citedByCount "5" @default.
- W1569199447 countsByYear W15691994472012 @default.
- W1569199447 countsByYear W15691994472013 @default.
- W1569199447 countsByYear W15691994472015 @default.
- W1569199447 crossrefType "journal-article" @default.
- W1569199447 hasAuthorship W1569199447A5058054791 @default.
- W1569199447 hasAuthorship W1569199447A5080230538 @default.
- W1569199447 hasConcept C105795698 @default.
- W1569199447 hasConcept C119857082 @default.
- W1569199447 hasConcept C121332964 @default.
- W1569199447 hasConcept C121955636 @default.
- W1569199447 hasConcept C124101348 @default.
- W1569199447 hasConcept C144133560 @default.
- W1569199447 hasConcept C149782125 @default.
- W1569199447 hasConcept C163258240 @default.
- W1569199447 hasConcept C196083921 @default.
- W1569199447 hasConcept C2780598303 @default.
- W1569199447 hasConcept C33923547 @default.
- W1569199447 hasConcept C41008148 @default.
- W1569199447 hasConcept C43214815 @default.
- W1569199447 hasConcept C62520636 @default.
- W1569199447 hasConceptScore W1569199447C105795698 @default.
- W1569199447 hasConceptScore W1569199447C119857082 @default.
- W1569199447 hasConceptScore W1569199447C121332964 @default.
- W1569199447 hasConceptScore W1569199447C121955636 @default.
- W1569199447 hasConceptScore W1569199447C124101348 @default.
- W1569199447 hasConceptScore W1569199447C144133560 @default.
- W1569199447 hasConceptScore W1569199447C149782125 @default.
- W1569199447 hasConceptScore W1569199447C163258240 @default.
- W1569199447 hasConceptScore W1569199447C196083921 @default.
- W1569199447 hasConceptScore W1569199447C2780598303 @default.
- W1569199447 hasConceptScore W1569199447C33923547 @default.
- W1569199447 hasConceptScore W1569199447C41008148 @default.
- W1569199447 hasConceptScore W1569199447C43214815 @default.
- W1569199447 hasConceptScore W1569199447C62520636 @default.
- W1569199447 hasLocation W15691994471 @default.
- W1569199447 hasOpenAccess W1569199447 @default.
- W1569199447 hasPrimaryLocation W15691994471 @default.
- W1569199447 hasRelatedWork W1500698297 @default.
- W1569199447 hasRelatedWork W1516193414 @default.
- W1569199447 hasRelatedWork W1521062204 @default.
- W1569199447 hasRelatedWork W1539561541 @default.
- W1569199447 hasRelatedWork W1565746575 @default.
- W1569199447 hasRelatedWork W1570448133 @default.
- W1569199447 hasRelatedWork W1608401492 @default.
- W1569199447 hasRelatedWork W1840338487 @default.
- W1569199447 hasRelatedWork W203276098 @default.
- W1569199447 hasRelatedWork W2076118331 @default.
- W1569199447 hasRelatedWork W2108949035 @default.
- W1569199447 hasRelatedWork W2111574971 @default.
- W1569199447 hasRelatedWork W2112076978 @default.
- W1569199447 hasRelatedWork W2117161260 @default.
- W1569199447 hasRelatedWork W2152761983 @default.
- W1569199447 hasRelatedWork W2911964244 @default.
- W1569199447 hasRelatedWork W2912934387 @default.
- W1569199447 hasRelatedWork W2966207845 @default.
- W1569199447 hasRelatedWork W3085162807 @default.
- W1569199447 hasRelatedWork W3120740533 @default.
- W1569199447 isParatext "false" @default.
- W1569199447 isRetracted "false" @default.
- W1569199447 magId "1569199447" @default.
- W1569199447 workType "article" @default.