Matches in SemOpenAlex for { <https://semopenalex.org/work/W4285198744> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4285198744 endingPage "69" @default.
- W4285198744 startingPage "62" @default.
- W4285198744 abstract "In the field of Machine Learning, there is a common point in almost all methodologies about measuring the importance of features in a model: estimating the value of a collection of them in several situations where different information sources (features) are available. To establish the value of the response feature, these techniques need to know the predictive ability of some features over others. We can distinguish two ways of performing this allocation. The first does not pay attention to the available information of known characteristics, assigning a random allocation value. The other option is to assume that the feasible values for the unknown features have to be any of the values observed in the sample (in the known part of the database), assuming that the values of the known features are correct. Despite its interest, there is a serious problem of overfitting in this approach, in situations in which there is a continuous feature: the values of a continuous feature are not likely to occur in any other, so there is a large loss of randomization (there will surely be an insignificant number of records for each possible value). In this scenario, it is probably unrealistic to assume a perfect estimation. Then, in this paper we propose a new methodology based on fuzzy measures which allows the analysis and consideration of the available information in known features, avoiding the problem of overfitting in the presence of continuous features." @default.
- W4285198744 created "2022-07-14" @default.
- W4285198744 creator A5019186924 @default.
- W4285198744 creator A5022140482 @default.
- W4285198744 creator A5027257734 @default.
- W4285198744 creator A5038053387 @default.
- W4285198744 creator A5042720500 @default.
- W4285198744 creator A5078109819 @default.
- W4285198744 date "2022-01-01" @default.
- W4285198744 modified "2023-10-09" @default.
- W4285198744 title "Explanation of Machine Learning Classification Models with Fuzzy Measures: An Approach to Individual Classification" @default.
- W4285198744 cites W2017449401 @default.
- W4285198744 cites W2089953456 @default.
- W4285198744 cites W2097310377 @default.
- W4285198744 cites W2129888542 @default.
- W4285198744 cites W2588324678 @default.
- W4285198744 cites W2909962776 @default.
- W4285198744 cites W3034712307 @default.
- W4285198744 cites W3108118145 @default.
- W4285198744 cites W3115254707 @default.
- W4285198744 cites W3138148883 @default.
- W4285198744 cites W3157571500 @default.
- W4285198744 cites W3182032140 @default.
- W4285198744 cites W4234836739 @default.
- W4285198744 cites W657067832 @default.
- W4285198744 doi "https://doi.org/10.1007/978-3-031-09176-6_7" @default.
- W4285198744 hasPublicationYear "2022" @default.
- W4285198744 type Work @default.
- W4285198744 citedByCount "1" @default.
- W4285198744 countsByYear W42851987442023 @default.
- W4285198744 crossrefType "book-chapter" @default.
- W4285198744 hasAuthorship W4285198744A5019186924 @default.
- W4285198744 hasAuthorship W4285198744A5022140482 @default.
- W4285198744 hasAuthorship W4285198744A5027257734 @default.
- W4285198744 hasAuthorship W4285198744A5038053387 @default.
- W4285198744 hasAuthorship W4285198744A5042720500 @default.
- W4285198744 hasAuthorship W4285198744A5078109819 @default.
- W4285198744 hasConcept C119857082 @default.
- W4285198744 hasConcept C124101348 @default.
- W4285198744 hasConcept C138885662 @default.
- W4285198744 hasConcept C154945302 @default.
- W4285198744 hasConcept C185592680 @default.
- W4285198744 hasConcept C198531522 @default.
- W4285198744 hasConcept C202444582 @default.
- W4285198744 hasConcept C22019652 @default.
- W4285198744 hasConcept C2776291640 @default.
- W4285198744 hasConcept C2776401178 @default.
- W4285198744 hasConcept C33923547 @default.
- W4285198744 hasConcept C41008148 @default.
- W4285198744 hasConcept C41895202 @default.
- W4285198744 hasConcept C43617362 @default.
- W4285198744 hasConcept C50644808 @default.
- W4285198744 hasConcept C58166 @default.
- W4285198744 hasConcept C9652623 @default.
- W4285198744 hasConceptScore W4285198744C119857082 @default.
- W4285198744 hasConceptScore W4285198744C124101348 @default.
- W4285198744 hasConceptScore W4285198744C138885662 @default.
- W4285198744 hasConceptScore W4285198744C154945302 @default.
- W4285198744 hasConceptScore W4285198744C185592680 @default.
- W4285198744 hasConceptScore W4285198744C198531522 @default.
- W4285198744 hasConceptScore W4285198744C202444582 @default.
- W4285198744 hasConceptScore W4285198744C22019652 @default.
- W4285198744 hasConceptScore W4285198744C2776291640 @default.
- W4285198744 hasConceptScore W4285198744C2776401178 @default.
- W4285198744 hasConceptScore W4285198744C33923547 @default.
- W4285198744 hasConceptScore W4285198744C41008148 @default.
- W4285198744 hasConceptScore W4285198744C41895202 @default.
- W4285198744 hasConceptScore W4285198744C43617362 @default.
- W4285198744 hasConceptScore W4285198744C50644808 @default.
- W4285198744 hasConceptScore W4285198744C58166 @default.
- W4285198744 hasConceptScore W4285198744C9652623 @default.
- W4285198744 hasLocation W42851987441 @default.
- W4285198744 hasOpenAccess W4285198744 @default.
- W4285198744 hasPrimaryLocation W42851987441 @default.
- W4285198744 hasRelatedWork W1492295194 @default.
- W4285198744 hasRelatedWork W1574414179 @default.
- W4285198744 hasRelatedWork W2490526372 @default.
- W4285198744 hasRelatedWork W4221142204 @default.
- W4285198744 hasRelatedWork W4281702477 @default.
- W4285198744 hasRelatedWork W4297676672 @default.
- W4285198744 hasRelatedWork W4362597605 @default.
- W4285198744 hasRelatedWork W4376166922 @default.
- W4285198744 hasRelatedWork W4378510483 @default.
- W4285198744 hasRelatedWork W757031997 @default.
- W4285198744 isParatext "false" @default.
- W4285198744 isRetracted "false" @default.
- W4285198744 workType "book-chapter" @default.