Matches in SemOpenAlex for { <https://semopenalex.org/work/W1921674293> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W1921674293 endingPage "69" @default.
- W1921674293 startingPage "53" @default.
- W1921674293 abstract "Abstract A multivariate decision tree attempts to improve upon the single variable split in a traditional tree. With the increase in datasets with many features and a small number of labeled instances in a variety of domains (bioinformatics, text mining, etc.), a traditional tree‐based approach with a greedy variable selection at a node may omit important information. Therefore, the recursive partitioning idea of a simple decision tree combined with the intrinsic feature selection of L 1 regularized logistic regression (LR) at each node is a natural choice for a multivariate tree model that is simple, but broadly applicable. This natural solution leads to the sparse multivariate tree (SMT) considered here. SMT can naturally handle non‐time‐series data and is extended to handle time‐series classification problems with the power of extracting interpretable temporal patterns (e.g., means, slopes, and deviations). Binary L 1 regularized LR models are used here for binary classification problems. However, SMT may be extended to solve multiclass problems with multinomial LR models. The accuracy and computational efficiency of SMT is compared to a large number of competitors on time series and non‐time‐series data. © 2013 Wiley Periodicals, Inc. Statistical Analysis and Data Mining, 2013" @default.
- W1921674293 created "2016-06-24" @default.
- W1921674293 creator A5002544391 @default.
- W1921674293 creator A5007259870 @default.
- W1921674293 creator A5066417045 @default.
- W1921674293 date "2013-12-30" @default.
- W1921674293 modified "2023-09-24" @default.
- W1921674293 title "SMT: Sparse multivariate tree" @default.
- W1921674293 cites W1517031415 @default.
- W1921674293 cites W153770551 @default.
- W1921674293 cites W1815439647 @default.
- W1921674293 cites W1973366456 @default.
- W1921674293 cites W1974806455 @default.
- W1921674293 cites W1981039744 @default.
- W1921674293 cites W1982525872 @default.
- W1921674293 cites W1994383689 @default.
- W1921674293 cites W2008056655 @default.
- W1921674293 cites W2011208599 @default.
- W1921674293 cites W2029438113 @default.
- W1921674293 cites W2030191558 @default.
- W1921674293 cites W2072154218 @default.
- W1921674293 cites W2098759488 @default.
- W1921674293 cites W2107838694 @default.
- W1921674293 cites W2118796860 @default.
- W1921674293 cites W2123502857 @default.
- W1921674293 cites W2124470735 @default.
- W1921674293 cites W2128160875 @default.
- W1921674293 cites W2133990480 @default.
- W1921674293 cites W2137887516 @default.
- W1921674293 cites W2140514146 @default.
- W1921674293 cites W2157121776 @default.
- W1921674293 cites W2166547175 @default.
- W1921674293 cites W2169482951 @default.
- W1921674293 cites W2403962807 @default.
- W1921674293 cites W2787894218 @default.
- W1921674293 cites W2912391306 @default.
- W1921674293 cites W2951539267 @default.
- W1921674293 cites W4232814967 @default.
- W1921674293 cites W4248455063 @default.
- W1921674293 cites W58346954 @default.
- W1921674293 cites W67158865 @default.
- W1921674293 doi "https://doi.org/10.1002/sam.11208" @default.
- W1921674293 hasPublicationYear "2013" @default.
- W1921674293 type Work @default.
- W1921674293 sameAs 1921674293 @default.
- W1921674293 citedByCount "2" @default.
- W1921674293 countsByYear W19216742932018 @default.
- W1921674293 countsByYear W19216742932021 @default.
- W1921674293 crossrefType "journal-article" @default.
- W1921674293 hasAuthorship W1921674293A5002544391 @default.
- W1921674293 hasAuthorship W1921674293A5007259870 @default.
- W1921674293 hasAuthorship W1921674293A5066417045 @default.
- W1921674293 hasConcept C113174947 @default.
- W1921674293 hasConcept C119857082 @default.
- W1921674293 hasConcept C124101348 @default.
- W1921674293 hasConcept C134306372 @default.
- W1921674293 hasConcept C137345334 @default.
- W1921674293 hasConcept C148483581 @default.
- W1921674293 hasConcept C153180895 @default.
- W1921674293 hasConcept C154945302 @default.
- W1921674293 hasConcept C161584116 @default.
- W1921674293 hasConcept C33923547 @default.
- W1921674293 hasConcept C41008148 @default.
- W1921674293 hasConcept C84525736 @default.
- W1921674293 hasConceptScore W1921674293C113174947 @default.
- W1921674293 hasConceptScore W1921674293C119857082 @default.
- W1921674293 hasConceptScore W1921674293C124101348 @default.
- W1921674293 hasConceptScore W1921674293C134306372 @default.
- W1921674293 hasConceptScore W1921674293C137345334 @default.
- W1921674293 hasConceptScore W1921674293C148483581 @default.
- W1921674293 hasConceptScore W1921674293C153180895 @default.
- W1921674293 hasConceptScore W1921674293C154945302 @default.
- W1921674293 hasConceptScore W1921674293C161584116 @default.
- W1921674293 hasConceptScore W1921674293C33923547 @default.
- W1921674293 hasConceptScore W1921674293C41008148 @default.
- W1921674293 hasConceptScore W1921674293C84525736 @default.
- W1921674293 hasIssue "1" @default.
- W1921674293 hasLocation W19216742931 @default.
- W1921674293 hasOpenAccess W1921674293 @default.
- W1921674293 hasPrimaryLocation W19216742931 @default.
- W1921674293 hasRelatedWork W1470425429 @default.
- W1921674293 hasRelatedWork W3200179079 @default.
- W1921674293 hasRelatedWork W3210877509 @default.
- W1921674293 hasRelatedWork W4205478082 @default.
- W1921674293 hasRelatedWork W4281385048 @default.
- W1921674293 hasRelatedWork W4293525103 @default.
- W1921674293 hasRelatedWork W4318350883 @default.
- W1921674293 hasRelatedWork W4328134586 @default.
- W1921674293 hasRelatedWork W4361795583 @default.
- W1921674293 hasRelatedWork W2345184372 @default.
- W1921674293 hasVolume "7" @default.
- W1921674293 isParatext "false" @default.
- W1921674293 isRetracted "false" @default.
- W1921674293 magId "1921674293" @default.
- W1921674293 workType "article" @default.