Matches in SemOpenAlex for { <https://semopenalex.org/work/W2156770540> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2156770540 abstract "Despite the huge amount of model selection theory for linear systems and the importance of neural networks in applied work, there is still little published work about the assessment on which model selection method works best for nonlinear systems such as multilayer perceptrons. Crossvalidation might be considered the most popular model selection method. It can be applied to linear as well as nonlinear learning systems, while algebraic model selection criteria are more attractive from the computational perspective, but they should take into account linear or nonlinear learning systems as well as whether regularization is used. In this paper we determine relative performance by comparing the novel algebraic criterion NNDIC, against well-known criteria for nonlinear systems such as GPE and NIC and the nonlinear ten-fold crossvalidation method (10NCV). Our results demonstrate the advantages of NNDIC in small samples scenarios for nonlinear systems which might include regularization." @default.
- W2156770540 created "2016-06-24" @default.
- W2156770540 creator A5003553186 @default.
- W2156770540 creator A5014413383 @default.
- W2156770540 creator A5038725497 @default.
- W2156770540 creator A5083538828 @default.
- W2156770540 date "2005-04-05" @default.
- W2156770540 modified "2023-09-25" @default.
- W2156770540 title "Model selection methods in multilayer perceptrons" @default.
- W2156770540 cites W1481519903 @default.
- W2156770540 cites W1489632320 @default.
- W2156770540 cites W1506069954 @default.
- W2156770540 cites W1525827038 @default.
- W2156770540 cites W1591760165 @default.
- W2156770540 cites W1604826251 @default.
- W2156770540 cites W1680392829 @default.
- W2156770540 cites W1968371014 @default.
- W2156770540 cites W1969824763 @default.
- W2156770540 cites W1973030322 @default.
- W2156770540 cites W1981025032 @default.
- W2156770540 cites W198410327 @default.
- W2156770540 cites W1993884095 @default.
- W2156770540 cites W2005201432 @default.
- W2156770540 cites W2058815839 @default.
- W2156770540 cites W2061317273 @default.
- W2156770540 cites W2076118331 @default.
- W2156770540 cites W2098545770 @default.
- W2156770540 cites W2144513243 @default.
- W2156770540 cites W2147299889 @default.
- W2156770540 cites W2167555312 @default.
- W2156770540 cites W2403140033 @default.
- W2156770540 cites W2484564807 @default.
- W2156770540 cites W2897129259 @default.
- W2156770540 cites W3000332379 @default.
- W2156770540 doi "https://doi.org/10.1109/ijcnn.2004.1380072" @default.
- W2156770540 hasPublicationYear "2005" @default.
- W2156770540 type Work @default.
- W2156770540 sameAs 2156770540 @default.
- W2156770540 citedByCount "0" @default.
- W2156770540 crossrefType "proceedings-article" @default.
- W2156770540 hasAuthorship W2156770540A5003553186 @default.
- W2156770540 hasAuthorship W2156770540A5014413383 @default.
- W2156770540 hasAuthorship W2156770540A5038725497 @default.
- W2156770540 hasAuthorship W2156770540A5083538828 @default.
- W2156770540 hasConcept C119857082 @default.
- W2156770540 hasConcept C121332964 @default.
- W2156770540 hasConcept C126255220 @default.
- W2156770540 hasConcept C154945302 @default.
- W2156770540 hasConcept C158622935 @default.
- W2156770540 hasConcept C163175372 @default.
- W2156770540 hasConcept C2776135515 @default.
- W2156770540 hasConcept C33923547 @default.
- W2156770540 hasConcept C41008148 @default.
- W2156770540 hasConcept C50644808 @default.
- W2156770540 hasConcept C60908668 @default.
- W2156770540 hasConcept C62520636 @default.
- W2156770540 hasConcept C81917197 @default.
- W2156770540 hasConcept C93959086 @default.
- W2156770540 hasConceptScore W2156770540C119857082 @default.
- W2156770540 hasConceptScore W2156770540C121332964 @default.
- W2156770540 hasConceptScore W2156770540C126255220 @default.
- W2156770540 hasConceptScore W2156770540C154945302 @default.
- W2156770540 hasConceptScore W2156770540C158622935 @default.
- W2156770540 hasConceptScore W2156770540C163175372 @default.
- W2156770540 hasConceptScore W2156770540C2776135515 @default.
- W2156770540 hasConceptScore W2156770540C33923547 @default.
- W2156770540 hasConceptScore W2156770540C41008148 @default.
- W2156770540 hasConceptScore W2156770540C50644808 @default.
- W2156770540 hasConceptScore W2156770540C60908668 @default.
- W2156770540 hasConceptScore W2156770540C62520636 @default.
- W2156770540 hasConceptScore W2156770540C81917197 @default.
- W2156770540 hasConceptScore W2156770540C93959086 @default.
- W2156770540 hasLocation W21567705401 @default.
- W2156770540 hasOpenAccess W2156770540 @default.
- W2156770540 hasPrimaryLocation W21567705401 @default.
- W2156770540 hasRelatedWork W1593294636 @default.
- W2156770540 hasRelatedWork W1598201578 @default.
- W2156770540 hasRelatedWork W1980477994 @default.
- W2156770540 hasRelatedWork W1991711243 @default.
- W2156770540 hasRelatedWork W2024736329 @default.
- W2156770540 hasRelatedWork W2172218062 @default.
- W2156770540 hasRelatedWork W2323614877 @default.
- W2156770540 hasRelatedWork W2796601240 @default.
- W2156770540 hasRelatedWork W2895741899 @default.
- W2156770540 hasRelatedWork W2907227398 @default.
- W2156770540 hasRelatedWork W2913747117 @default.
- W2156770540 hasRelatedWork W2924944420 @default.
- W2156770540 hasRelatedWork W3001020350 @default.
- W2156770540 hasRelatedWork W3086968158 @default.
- W2156770540 hasRelatedWork W3103013643 @default.
- W2156770540 hasRelatedWork W3118641060 @default.
- W2156770540 hasRelatedWork W3127046748 @default.
- W2156770540 hasRelatedWork W32808555 @default.
- W2156770540 hasRelatedWork W43694535 @default.
- W2156770540 hasRelatedWork W781522344 @default.
- W2156770540 isParatext "false" @default.
- W2156770540 isRetracted "false" @default.
- W2156770540 magId "2156770540" @default.
- W2156770540 workType "article" @default.