Matches in SemOpenAlex for { <https://semopenalex.org/work/W3007885066> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3007885066 abstract "In many applications, data exists in a mixed data type format, i.e. a combination of nominal (categorical) and numericalal features. A common practice for working with categorical features is to use an encoding method to transform the discrete values into numeric representation. However, numeric representation often neglects the innate structures in categorical features, potentially degrading the performance of learning algorithms. Utilizing the numeric representation could also limit interpretation of the learned model, such as finding the most discriminative categorical features or filtering irrelevant attributes. In this work, we extend the iterative hard thresholding (IHT) algorithm to quantify the structure of categorical features. The empirical evaluation of the proposed structured hard thresholding algorithm is based on both real and synthetic data sets in comparison with the original hard thresholding algorithm, LASSO and Random Forest. The results demonstrate an improved performance over the original IHT." @default.
- W3007885066 created "2020-03-06" @default.
- W3007885066 creator A5038035260 @default.
- W3007885066 creator A5040578359 @default.
- W3007885066 date "2019-12-01" @default.
- W3007885066 modified "2023-09-24" @default.
- W3007885066 title "Structured Iterative Hard Thresholding for Categorical and Mixed Data Types" @default.
- W3007885066 cites W1541288193 @default.
- W3007885066 cites W1987371344 @default.
- W3007885066 cites W2014915963 @default.
- W3007885066 cites W2072017174 @default.
- W3007885066 cites W2082036307 @default.
- W3007885066 cites W2101746535 @default.
- W3007885066 cites W2117573774 @default.
- W3007885066 cites W2127271355 @default.
- W3007885066 cites W2135046866 @default.
- W3007885066 cites W2138019504 @default.
- W3007885066 cites W2144549472 @default.
- W3007885066 cites W2154053567 @default.
- W3007885066 cites W2158633287 @default.
- W3007885066 cites W2160979406 @default.
- W3007885066 cites W2289917018 @default.
- W3007885066 cites W2603741279 @default.
- W3007885066 cites W2740337541 @default.
- W3007885066 cites W2911964244 @default.
- W3007885066 cites W2963322354 @default.
- W3007885066 doi "https://doi.org/10.1109/ssci44817.2019.9002948" @default.
- W3007885066 hasPublicationYear "2019" @default.
- W3007885066 type Work @default.
- W3007885066 sameAs 3007885066 @default.
- W3007885066 citedByCount "0" @default.
- W3007885066 crossrefType "proceedings-article" @default.
- W3007885066 hasAuthorship W3007885066A5038035260 @default.
- W3007885066 hasAuthorship W3007885066A5040578359 @default.
- W3007885066 hasConcept C11413529 @default.
- W3007885066 hasConcept C115961682 @default.
- W3007885066 hasConcept C119857082 @default.
- W3007885066 hasConcept C124101348 @default.
- W3007885066 hasConcept C153180895 @default.
- W3007885066 hasConcept C154945302 @default.
- W3007885066 hasConcept C17744445 @default.
- W3007885066 hasConcept C191178318 @default.
- W3007885066 hasConcept C199539241 @default.
- W3007885066 hasConcept C2776359362 @default.
- W3007885066 hasConcept C41008148 @default.
- W3007885066 hasConcept C5274069 @default.
- W3007885066 hasConcept C94625758 @default.
- W3007885066 hasConcept C97931131 @default.
- W3007885066 hasConceptScore W3007885066C11413529 @default.
- W3007885066 hasConceptScore W3007885066C115961682 @default.
- W3007885066 hasConceptScore W3007885066C119857082 @default.
- W3007885066 hasConceptScore W3007885066C124101348 @default.
- W3007885066 hasConceptScore W3007885066C153180895 @default.
- W3007885066 hasConceptScore W3007885066C154945302 @default.
- W3007885066 hasConceptScore W3007885066C17744445 @default.
- W3007885066 hasConceptScore W3007885066C191178318 @default.
- W3007885066 hasConceptScore W3007885066C199539241 @default.
- W3007885066 hasConceptScore W3007885066C2776359362 @default.
- W3007885066 hasConceptScore W3007885066C41008148 @default.
- W3007885066 hasConceptScore W3007885066C5274069 @default.
- W3007885066 hasConceptScore W3007885066C94625758 @default.
- W3007885066 hasConceptScore W3007885066C97931131 @default.
- W3007885066 hasLocation W30078850661 @default.
- W3007885066 hasOpenAccess W3007885066 @default.
- W3007885066 hasPrimaryLocation W30078850661 @default.
- W3007885066 hasRelatedWork W11219696 @default.
- W3007885066 hasRelatedWork W12634471 @default.
- W3007885066 hasRelatedWork W13188192 @default.
- W3007885066 hasRelatedWork W13704299 @default.
- W3007885066 hasRelatedWork W13840495 @default.
- W3007885066 hasRelatedWork W2390764 @default.
- W3007885066 hasRelatedWork W4972971 @default.
- W3007885066 hasRelatedWork W5405742 @default.
- W3007885066 hasRelatedWork W6928914 @default.
- W3007885066 hasRelatedWork W9770290 @default.
- W3007885066 isParatext "false" @default.
- W3007885066 isRetracted "false" @default.
- W3007885066 magId "3007885066" @default.
- W3007885066 workType "article" @default.