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In machine learning, a support vector machine (SVM) or support vector network is a supervised max-margin model with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories, SVMs are one of the most studied models, being based on statistical learning frameworks of VC theory proposed…
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| sub-gradient descent | instance of | more recent approaches | 0.80 | text |
| coordinate descent will be discussed.PrimalMinimizing | instance of | more recent approaches | 0.80 | text |
| regularized least-squares | instance of | SVM is closely related to other fundamental classification algorithms | 0.80 | text |
| logistic regression | instance of | SVM is closely related to other fundamental classification algorithms | 0.80 | text |
| Support vector machine | has application | SVMs | 0.60 | section |
| Support vector machine | has application | Some | 0.60 | section |
| Support vector machine | has application | Classification | 0.60 | section |
| Support vector machine | has application | Experimental | 0.60 | section |
| Support vector machine | has application | This | 0.60 | section |
| Support vector machine | has application | SVM | 0.60 | section |
| Support vector machine | has application | Vapnik | 0.60 | section |
| Support vector machine | has application | SAR | 0.60 | section |
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