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https://www.researchgate.net/publication/246843706_Model_Induction_With_Support_Vector_Machines_Introduction_and_Applications
Model Induction With Support Vector Machines: Introduction and Applications Article (PDF Available) in Journal of Computing in Civil Engineering 15(3) · July 2001 with 529 Reads How we measure ...
https://en.wikipedia.org/wiki/Support-vector_machine
In machine learning, support-vector machines (SVMs, also support-vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.Given a set of training examples, each marked as belonging to one or the other of two categories, an SVM training algorithm builds a model that assigns new examples to one category ...
https://ascelibrary.org/doi/10.1061/%28ASCE%290887-3801%282001%2915%3A3%28208%29
Jul 03, 2001 · If the address matches an existing account you will receive an email with instructions to reset your password.
https://www.academia.edu/1551239/Model_Induction_with_Support_Vector_Machines_Introduction_and_Applications
Model Induction with Support Vector Machines: Introduction and Applications
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-6135-x
Nov 13, 2019 · Search the best combination of support vector machines (SVM) model parameters. The Principal Component Analysis (PCA) algorithm is used on the normalized training cohort data. The PCA algorithm was conducted with MATLAB (version 2018a). Features which can reflect 95% information of the whole cohort were selected .Author: Tao Chen, Cangui Zhang, Yingqiao Liu, Yuyun Zhao, Dingyi Lin, Yanfeng Hu, Jiang Yu, Guoxin Li
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.4643
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda):
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