On Discriminative vs. Generative Classifiers¶
Ng, A. Y., & Jordan, M. I. (2002). On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes. Advances in Neural Information Processing Systems 14.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Conditional Probability
- Machine learning. Discriminative classifiers learn \(P(y\mid x)\) directly; generative models learn \(P(x\mid y)P(y)\) and invert
This sourceContrasts discriminative classifiers learning P(y|x) directly with generative models learning P(x|y)P(y) and inverting via Bayes.
- Machine learning. Discriminative classifiers learn \(P(y\mid x)\) directly; generative models learn \(P(x\mid y)P(y)\) and invert
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