Exploring 10 601 Machine Learning Spring 2015 Recitation 4
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- Topics: review of boosting, Adaboost, strong vs weak PAC
- Topics: additional practice
- Topics: review of the solutions to midterm exam Lecturer: Travis Dick http://www.cs.cmu.edu/~ninamf/courses/601sp15/index.html.
- Topics: generative and discriminative classifiers (relationship between naive Bayes and logistic regression), linear regression ...
- Topics: application of naive Bayes to document classification, Gaussian naive Bayes and application to brain imaging Lecturer: ...
In-Depth Information on 10 601 Machine Learning Spring 2015 Recitation 4
Topics: linear regression, logistic regression, gradient descent Lecturer: Kirstin Early ... Topics: conditional independence and naive Bayes Lecturer: Tom Mitchell ... Topics: review of naive Bayes, naive Bayes with Bernoulli, Gaussian, and multinomial (categorical) distributions Lecturer: Micol ... Topics: graphical models, d-separation, Bayes' ball algorithm, inference Lecturer: Abu Saparov ...
Topics: graph-based semi-supervised
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