Matches in SemOpenAlex for { <https://semopenalex.org/work/W2612334796> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2612334796 endingPage "175" @default.
- W2612334796 startingPage "161" @default.
- W2612334796 abstract "Support vector machines (SVMs) are supervised learning models traditionally employed for classification and regression analysis. In classification analysis, a set of training data is chosen, and each instance in the training data is assigned a categorical class. An SVM then constructs a model based on a separating plane that maximizes the margin between different classes. Despite being one of the most popular classification models because of its strong performance empirically, understanding the knowledge captured in an SVM remains difficult. SVMs are typically applied in a black-box manner where the details of parameter tuning, training, and even the final constructed model are hidden from the users. This is natural since these details are often complex and difficult to understand without proper visualization tools. However, such an approach often brings about various problems including trial-and-error tuning and suspicious users who are forced to trust these models blindly. The contribution of this paper is a visual analysis approach for building SVMs in an open-box manner. Our goal is to improve an analyst’s understanding of the SVM modeling process through a suite of visualization techniques that allow users to have full interactive visual control over the entire SVM training process. Our visual exploration tools have been developed to enable intuitive parameter tuning, training data manipulation, and rule extraction as part of the SVM training process. To demonstrate the efficacy of our approach, we conduct a case study using a real-world robot control dataset." @default.
- W2612334796 created "2017-05-19" @default.
- W2612334796 creator A5001881140 @default.
- W2612334796 creator A5014221694 @default.
- W2612334796 creator A5017541508 @default.
- W2612334796 creator A5023925931 @default.
- W2612334796 creator A5026799813 @default.
- W2612334796 creator A5041307939 @default.
- W2612334796 creator A5086001275 @default.
- W2612334796 date "2017-03-15" @default.
- W2612334796 modified "2023-10-02" @default.
- W2612334796 title "EasySVM: A visual analysis approach for open-box support vector machines" @default.
- W2612334796 cites W1567313600 @default.
- W2612334796 cites W1581040059 @default.
- W2612334796 cites W1978841917 @default.
- W2612334796 cites W1982120517 @default.
- W2612334796 cites W1992492534 @default.
- W2612334796 cites W2034958663 @default.
- W2612334796 cites W2047046780 @default.
- W2612334796 cites W2082612735 @default.
- W2612334796 cites W2108728387 @default.
- W2612334796 cites W2110080554 @default.
- W2612334796 cites W2123809264 @default.
- W2612334796 cites W2124351082 @default.
- W2612334796 cites W2131064753 @default.
- W2612334796 cites W2148329479 @default.
- W2612334796 cites W2154142492 @default.
- W2612334796 cites W2162825485 @default.
- W2612334796 cites W2169056757 @default.
- W2612334796 cites W4294576732 @default.
- W2612334796 doi "https://doi.org/10.1007/s41095-017-0077-5" @default.
- W2612334796 hasPublicationYear "2017" @default.
- W2612334796 type Work @default.
- W2612334796 sameAs 2612334796 @default.
- W2612334796 citedByCount "29" @default.
- W2612334796 countsByYear W26123347962017 @default.
- W2612334796 countsByYear W26123347962018 @default.
- W2612334796 countsByYear W26123347962019 @default.
- W2612334796 countsByYear W26123347962020 @default.
- W2612334796 countsByYear W26123347962021 @default.
- W2612334796 countsByYear W26123347962022 @default.
- W2612334796 countsByYear W26123347962023 @default.
- W2612334796 crossrefType "journal-article" @default.
- W2612334796 hasAuthorship W2612334796A5001881140 @default.
- W2612334796 hasAuthorship W2612334796A5014221694 @default.
- W2612334796 hasAuthorship W2612334796A5017541508 @default.
- W2612334796 hasAuthorship W2612334796A5023925931 @default.
- W2612334796 hasAuthorship W2612334796A5026799813 @default.
- W2612334796 hasAuthorship W2612334796A5041307939 @default.
- W2612334796 hasAuthorship W2612334796A5086001275 @default.
- W2612334796 hasBestOaLocation W26123347961 @default.
- W2612334796 hasConcept C111919701 @default.
- W2612334796 hasConcept C119857082 @default.
- W2612334796 hasConcept C12267149 @default.
- W2612334796 hasConcept C124101348 @default.
- W2612334796 hasConcept C153180895 @default.
- W2612334796 hasConcept C154945302 @default.
- W2612334796 hasConcept C177264268 @default.
- W2612334796 hasConcept C199360897 @default.
- W2612334796 hasConcept C36464697 @default.
- W2612334796 hasConcept C41008148 @default.
- W2612334796 hasConcept C774472 @default.
- W2612334796 hasConcept C94966114 @default.
- W2612334796 hasConcept C98045186 @default.
- W2612334796 hasConceptScore W2612334796C111919701 @default.
- W2612334796 hasConceptScore W2612334796C119857082 @default.
- W2612334796 hasConceptScore W2612334796C12267149 @default.
- W2612334796 hasConceptScore W2612334796C124101348 @default.
- W2612334796 hasConceptScore W2612334796C153180895 @default.
- W2612334796 hasConceptScore W2612334796C154945302 @default.
- W2612334796 hasConceptScore W2612334796C177264268 @default.
- W2612334796 hasConceptScore W2612334796C199360897 @default.
- W2612334796 hasConceptScore W2612334796C36464697 @default.
- W2612334796 hasConceptScore W2612334796C41008148 @default.
- W2612334796 hasConceptScore W2612334796C774472 @default.
- W2612334796 hasConceptScore W2612334796C94966114 @default.
- W2612334796 hasConceptScore W2612334796C98045186 @default.
- W2612334796 hasIssue "2" @default.
- W2612334796 hasLocation W26123347961 @default.
- W2612334796 hasOpenAccess W2612334796 @default.
- W2612334796 hasPrimaryLocation W26123347961 @default.
- W2612334796 hasRelatedWork W2041399278 @default.
- W2612334796 hasRelatedWork W2056016498 @default.
- W2612334796 hasRelatedWork W2136184105 @default.
- W2612334796 hasRelatedWork W2160451891 @default.
- W2612334796 hasRelatedWork W2336974148 @default.
- W2612334796 hasRelatedWork W2389470892 @default.
- W2612334796 hasRelatedWork W3013515612 @default.
- W2612334796 hasRelatedWork W3195168932 @default.
- W2612334796 hasRelatedWork W2187500075 @default.
- W2612334796 hasRelatedWork W2345184372 @default.
- W2612334796 hasVolume "3" @default.
- W2612334796 isParatext "false" @default.
- W2612334796 isRetracted "false" @default.
- W2612334796 magId "2612334796" @default.
- W2612334796 workType "article" @default.