Linear Classifier: Difference between revisions
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#REDIRECT [[Supervised Linear Model-based Classification Algorithm]]. | #REDIRECT [[Supervised Linear Model-based Classification Algorithm]]. | ||
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Revision as of 18:53, 17 September 2021
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References
2004
- (Hastie et al., 2004) ⇒ Trevor Hastie, Saharon Rosset, Robert Tibshirani, and Ji Zhu. (2004). “The Entire Regularization Path for the Support Vector Machine.” In: The Journal of Machine Learning Research, 5.
- …. We start off with the simple case of a linear classifier, where our goal is to estimate a linear decision function
- ƒ(x) = β0+βTx,
- and its associated classifier
- Class(x) = sign[ƒ(x)].
- There are many ways to fit such a linear classifier, including linear regression, Fisher’s linear discriminant analysis, and logistic regression
- …. We start off with the simple case of a linear classifier, where our goal is to estimate a linear decision function