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- W2504708534 abstract "Support Vector Machines(SVMs) are a unique tool for classification of data and are used for solving real world problems such as image classification and text analysis. This project explores the underlying mathematics optimization problem behind the algorithm in a Support Vector Machine. The original minimization problem is described and an equivalent maximization formulation is derived. Various two and three dimensional examples are given to illustrate how the optimization gives a useable result with both linearly and nonlinearly separable data. Finally, this tool is applied in a handwriting character recognition problem. Popular SVM kernels are explored and their respective accuracy percentages in identifying between characters are compared." @default.
- W2504708534 created "2016-08-23" @default.
- W2504708534 creator A5066811888 @default.
- W2504708534 date "2016-01-01" @default.
- W2504708534 modified "2023-09-27" @default.
- W2504708534 title "The Optimization behind Support Vector Machines and an Application in Handwriting Recognition" @default.
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- W2504708534 hasPublicationYear "2016" @default.
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