Difference between revisions of "Class meeting for 10-605 in Fall 2016 Streaming Naive Bayes"
From Cohen Courses
Jump to navigationJump to search| Line 9: | Line 9: | ||
=== Readings for the Class === | === Readings for the Class === | ||
| − | * | + | * Required: [http://www.cs.cmu.edu/~wcohen/10-605/notes/scalable-nb-notes.pdf my notes on streaming and Naive Bayes] |
| + | * Optional: If you're interested in reading more about smoothing for naive Bayes, I recommend this paper: Peng, Fuchun, Dale Schuurmans, and Shaojun Wang. "Augmenting naive Bayes classifiers with statistical language models." Information Retrieval 7.3 (2004): 317-345. | ||
Revision as of 16:03, 19 January 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2014.
Slides
- Slides 1 - streaming Naive Bayes
- Slides 2 - the stream-and-sort pattern, and large-vocabulary Naive Bayes
Readings for the Class
- Required: my notes on streaming and Naive Bayes
- Optional: If you're interested in reading more about smoothing for naive Bayes, I recommend this paper: Peng, Fuchun, Dale Schuurmans, and Shaojun Wang. "Augmenting naive Bayes classifiers with statistical language models." Information Retrieval 7.3 (2004): 317-345.
