Matches in SemOpenAlex for { <https://semopenalex.org/work/W168641132> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W168641132 endingPage "108" @default.
- W168641132 startingPage "93" @default.
- W168641132 abstract "Neural networks have been repeatedly shown to outperform traditional statistical modeling techniques for both discriminant analysis and forecasting. While questions regarding the effects of architecture, input variable selection, learning algorithm, and size of training sets on the neural network model’s performance have been addressed, very little attention has been focused on distribution effects of training and out-of-sample populations on neural network performance. This article examines the effect of changing the population distribution within training sets for estimated distribution density functions, in particular for a credit risk assessment problem." @default.
- W168641132 created "2016-06-24" @default.
- W168641132 creator A5004017431 @default.
- W168641132 creator A5044878328 @default.
- W168641132 creator A5050122892 @default.
- W168641132 date "2011-05-24" @default.
- W168641132 modified "2023-09-24" @default.
- W168641132 title "The Effect of Training Set Distributions for Supervised Learning Artificial Neural Networks on Classification Accuracy" @default.
- W168641132 cites W1489920315 @default.
- W168641132 cites W1543335190 @default.
- W168641132 cites W1545877870 @default.
- W168641132 cites W1782977420 @default.
- W168641132 cites W1985475871 @default.
- W168641132 cites W1988115241 @default.
- W168641132 cites W1999183681 @default.
- W168641132 cites W2035057153 @default.
- W168641132 cites W2047649690 @default.
- W168641132 cites W2062140782 @default.
- W168641132 cites W2074937451 @default.
- W168641132 cites W2093829413 @default.
- W168641132 cites W2097529207 @default.
- W168641132 cites W2108959409 @default.
- W168641132 cites W2129476886 @default.
- W168641132 cites W2137463301 @default.
- W168641132 cites W2137983211 @default.
- W168641132 cites W2138151720 @default.
- W168641132 cites W2154165923 @default.
- W168641132 cites W2235635208 @default.
- W168641132 cites W3026721701 @default.
- W168641132 cites W3125354470 @default.
- W168641132 cites W3133917342 @default.
- W168641132 cites W3146803896 @default.
- W168641132 doi "https://doi.org/10.4018/978-1-93177-741-4.ch007" @default.
- W168641132 hasPublicationYear "2011" @default.
- W168641132 type Work @default.
- W168641132 sameAs 168641132 @default.
- W168641132 citedByCount "0" @default.
- W168641132 crossrefType "book-chapter" @default.
- W168641132 hasAuthorship W168641132A5004017431 @default.
- W168641132 hasAuthorship W168641132A5044878328 @default.
- W168641132 hasAuthorship W168641132A5050122892 @default.
- W168641132 hasConcept C119857082 @default.
- W168641132 hasConcept C134306372 @default.
- W168641132 hasConcept C136389625 @default.
- W168641132 hasConcept C154945302 @default.
- W168641132 hasConcept C177264268 @default.
- W168641132 hasConcept C182365436 @default.
- W168641132 hasConcept C185592680 @default.
- W168641132 hasConcept C198531522 @default.
- W168641132 hasConcept C199360897 @default.
- W168641132 hasConcept C33923547 @default.
- W168641132 hasConcept C41008148 @default.
- W168641132 hasConcept C43617362 @default.
- W168641132 hasConcept C50644808 @default.
- W168641132 hasConcept C69738355 @default.
- W168641132 hasConcept C81917197 @default.
- W168641132 hasConceptScore W168641132C119857082 @default.
- W168641132 hasConceptScore W168641132C134306372 @default.
- W168641132 hasConceptScore W168641132C136389625 @default.
- W168641132 hasConceptScore W168641132C154945302 @default.
- W168641132 hasConceptScore W168641132C177264268 @default.
- W168641132 hasConceptScore W168641132C182365436 @default.
- W168641132 hasConceptScore W168641132C185592680 @default.
- W168641132 hasConceptScore W168641132C198531522 @default.
- W168641132 hasConceptScore W168641132C199360897 @default.
- W168641132 hasConceptScore W168641132C33923547 @default.
- W168641132 hasConceptScore W168641132C41008148 @default.
- W168641132 hasConceptScore W168641132C43617362 @default.
- W168641132 hasConceptScore W168641132C50644808 @default.
- W168641132 hasConceptScore W168641132C69738355 @default.
- W168641132 hasConceptScore W168641132C81917197 @default.
- W168641132 hasLocation W1686411321 @default.
- W168641132 hasOpenAccess W168641132 @default.
- W168641132 hasPrimaryLocation W1686411321 @default.
- W168641132 hasRelatedWork W1632025676 @default.
- W168641132 hasRelatedWork W2005901888 @default.
- W168641132 hasRelatedWork W2022473643 @default.
- W168641132 hasRelatedWork W2048933698 @default.
- W168641132 hasRelatedWork W2123546507 @default.
- W168641132 hasRelatedWork W2127251289 @default.
- W168641132 hasRelatedWork W2163632447 @default.
- W168641132 hasRelatedWork W2373555655 @default.
- W168641132 hasRelatedWork W2503646154 @default.
- W168641132 hasRelatedWork W2566532280 @default.
- W168641132 hasRelatedWork W2786230937 @default.
- W168641132 hasRelatedWork W2889423986 @default.
- W168641132 hasRelatedWork W2900044773 @default.
- W168641132 hasRelatedWork W2908913961 @default.
- W168641132 hasRelatedWork W2946674783 @default.
- W168641132 hasRelatedWork W3044153870 @default.
- W168641132 hasRelatedWork W3082273010 @default.
- W168641132 hasRelatedWork W3101160471 @default.
- W168641132 hasRelatedWork W3151372454 @default.
- W168641132 hasRelatedWork W642197006 @default.
- W168641132 isParatext "false" @default.
- W168641132 isRetracted "false" @default.
- W168641132 magId "168641132" @default.
- W168641132 workType "book-chapter" @default.