Matches in SemOpenAlex for { <https://semopenalex.org/work/W2000593875> ?p ?o ?g. }
Showing items 1 to 61 of
61
with 100 items per page.
- W2000593875 abstract "XCSF approximates function surfaces by evolving a suitable clustering of the input space, so that a simple -- typically linear -- predictor yields sufficient accuracy in each cluster. With an increasing number of distinct output dimensions, however, the accuracy of local predictions typically decreases. We analyze the performance of a single XCSF instance and compare it to the performance of a multiple-instance XCSF, where each instance predicts one dimension of the output. We show that dependent on the problem at hand, the multiple-instance XCSF approach is highly advantageous. In particular, we show that the more local linearity structures differ, the more a modularized approximation by multiple XCSF instances pays off. In fact, if modularization is not applied, the problem complexity may increase exponentially in the number of approximately orthogonally-structured output dimensions. To relate these results also to current XCSF application options, we show that the multiple-instance XCSF approach can also be applied to the problem of learning a compact model of the Jacobian of the forward-kinematics of a seven degree of freedom anthropomorphic robot arm for inverse robot arm control in simulation." @default.
- W2000593875 created "2016-06-24" @default.
- W2000593875 creator A5047963318 @default.
- W2000593875 creator A5075919503 @default.
- W2000593875 date "2011-07-12" @default.
- W2000593875 modified "2023-10-16" @default.
- W2000593875 title "Modularization of xcsf for multiple output dimensions" @default.
- W2000593875 cites W1591645366 @default.
- W2000593875 cites W1967310070 @default.
- W2000593875 cites W1968584969 @default.
- W2000593875 cites W1976606095 @default.
- W2000593875 cites W1989101984 @default.
- W2000593875 cites W1990046613 @default.
- W2000593875 cites W1993254737 @default.
- W2000593875 cites W1999340428 @default.
- W2000593875 cites W2045417194 @default.
- W2000593875 cites W2056179638 @default.
- W2000593875 cites W2097129956 @default.
- W2000593875 cites W2098888151 @default.
- W2000593875 cites W2137261852 @default.
- W2000593875 cites W2613580378 @default.
- W2000593875 cites W2895774836 @default.
- W2000593875 cites W4240350363 @default.
- W2000593875 cites W49545738 @default.
- W2000593875 doi "https://doi.org/10.1145/2001576.2001744" @default.
- W2000593875 hasPublicationYear "2011" @default.
- W2000593875 type Work @default.
- W2000593875 sameAs 2000593875 @default.
- W2000593875 citedByCount "7" @default.
- W2000593875 countsByYear W20005938752012 @default.
- W2000593875 countsByYear W20005938752013 @default.
- W2000593875 countsByYear W20005938752014 @default.
- W2000593875 countsByYear W20005938752015 @default.
- W2000593875 countsByYear W20005938752016 @default.
- W2000593875 countsByYear W20005938752018 @default.
- W2000593875 crossrefType "proceedings-article" @default.
- W2000593875 hasAuthorship W2000593875A5047963318 @default.
- W2000593875 hasAuthorship W2000593875A5075919503 @default.
- W2000593875 hasConcept C199360897 @default.
- W2000593875 hasConcept C41008148 @default.
- W2000593875 hasConcept C88482812 @default.
- W2000593875 hasConceptScore W2000593875C199360897 @default.
- W2000593875 hasConceptScore W2000593875C41008148 @default.
- W2000593875 hasConceptScore W2000593875C88482812 @default.
- W2000593875 hasLocation W20005938751 @default.
- W2000593875 hasOpenAccess W2000593875 @default.
- W2000593875 hasPrimaryLocation W20005938751 @default.
- W2000593875 hasRelatedWork W1512848476 @default.
- W2000593875 hasRelatedWork W1860988706 @default.
- W2000593875 hasRelatedWork W2060456459 @default.
- W2000593875 hasRelatedWork W2358577193 @default.
- W2000593875 hasRelatedWork W2368431039 @default.
- W2000593875 hasRelatedWork W2383263533 @default.
- W2000593875 hasRelatedWork W2748952813 @default.
- W2000593875 hasRelatedWork W2899084033 @default.
- W2000593875 hasRelatedWork W3091329127 @default.
- W2000593875 hasRelatedWork W3095522839 @default.
- W2000593875 isParatext "false" @default.
- W2000593875 isRetracted "false" @default.
- W2000593875 magId "2000593875" @default.
- W2000593875 workType "article" @default.