Mô hình tạo sinh (Vietnamese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Mô hình tạo sinh" in Vietnamese language version.

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cmu.edu

Three leading sources, Ng & Jordan 2002, Jebara 2004, and Mitchell 2015, give different divisions and definitions. Ng, Andrew Y.; Jordan, Michael I. (2002). “On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes” (PDF). Advances in Neural Information Processing Systems. Jebara, Tony (2004). Machine Learning: Discriminative and Generative. The Springer International Series in Engineering and Computer Science. Kluwer Academic (Springer). ISBN 978-1-4020-7647-3. Mitchell, Tom M. (2015). “3. Generative and Discriminative Classifiers: Naive Bayes and Logistic Regression” (PDF). Machine Learning.
Jebara 2004, 2.4 Discriminative Learning: "This distinction between conditional learning and discriminative learning is not currently a well established convention in the field." Jebara, Tony (2004). Machine Learning: Discriminative and Generative. The Springer International Series in Engineering and Computer Science. Kluwer Academic (Springer). ISBN 978-1-4020-7647-3.

Three leading sources, Ng & Jordan 2002, Jebara 2004, and Mitchell 2015, give different divisions and definitions. Ng, Andrew Y.; Jordan, Michael I. (2002). “On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes” (PDF). Advances in Neural Information Processing Systems. Jebara, Tony (2004). Machine Learning: Discriminative and Generative. The Springer International Series in Engineering and Computer Science. Kluwer Academic (Springer). ISBN 978-1-4020-7647-3. Mitchell, Tom M. (2015). “3. Generative and Discriminative Classifiers: Naive Bayes and Logistic Regression” (PDF). Machine Learning.
Ng & Jordan (2002): "Generative classifiers learn a model of the joint probability, $p(x,y)$ , of the inputs x and the label y, and make their predictions by using Bayes rules to calculate $p(y|x)$ , and then picking the most likely label y. Ng, Andrew Y.; Jordan, Michael I. (2002). “On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes” (PDF). Advances in Neural Information Processing Systems.
Ng & Jordan 2002: "Discriminative classifiers model the posterior $p(y|x)$ directly, or learn a direct map from inputs x to the class labels." Ng, Andrew Y.; Jordan, Michael I. (2002). “On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes” (PDF). Advances in Neural Information Processing Systems.