Difference between revisions of "Class meeting for 10-605 Rocchio and Hadoop Workflows"
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− | This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Spring | + | This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2015|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2015]]. |
=== Slides === | === Slides === |
Revision as of 19:08, 25 January 2015
This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2015.
Slides
Readings for the Class
- Introduction to Information Retrieval, by Christopher D. Manning, Prabhakar Raghavan & Hinrich Schütz, has a fairly self-contained chapter on the vector space model, including Rocchio's method.
Also discussed
- Joachims, Thorsten, A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. Proceedings of International Conference on Machine Learning (ICML), 1997.
- Relevance Feedback in Information Retrieval, SMART Retrieval System Experiments in Automatic Document Processing, 1971, Prentice Hall Inc.
- Schapire et al, Boosting and Rocchio applied to text filtering, SIGIR 98.
- Littlestone, Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm, MLJ 1988. Includes the mistake-bound theory.