2、从目标函数来看,区别在于逻辑回归采用的是Logistical Loss,SVM采用的是hinge loss.这两个损失函数的目的都是增加对分类影响较大的数据点的权重,减少与分类关系较小的数据点的权重。 3、SVM的处理方法是只考虑Support Vectors,也就是和分类最相关的少数点,去学习分类器。而逻辑回归通过非线性映射,大大减小了离分...
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1. Hinge loss In machine learning, the hinge loss is a loss function used for training classifiers. The hinge loss is used for "maximum-margin" classification, most notably for support vector machines (SVMs). The equation is given as: where c is the loss function, x the sample, y is...
Machine Learning FAQ The termscostandlossfunctions are synonymous (some people also call it error function). The more general scenario is to define an objective function first, which we want to optimize. This objective function could be to maximize the posterior probabilities (e.g., naive Bayes)...
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What is collagen? The most abundant protein in the body, it's found in muscles, bones, skin and tendons. Learn about the types, sources, benefits and supplements.
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Former Bachelorette Kaitlyn Bristowe is jumping into the music game. Fans who follow Bristowe on Instagram or listen to her podcast, Off the Vine, already know she can sing, and in the past, she's mentioned plans of a potential single. On Thursday, she officially released her first song,...
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