Interesting Papers

Text Learning
Rule Learning
Reinforcement Learning
Document Similarity

I use this page to keep track of papers that have caught my attention. I primarily use this to list papers that would otherwise be difficult for me to find. Thus, it does not include my own papers or those of my cohorts.

Text Learning

Sam Scott. 1998. Feature Engineering for a Symbolic Approach to Text Classification. University of Ottawa Computer Science Technical Report TR-98-09.
Sahami, M., Dumais, S., Heckerman, D., and Horvitz, E. 1998. A Bayesian Approach to Filtering Junk E-Mail. In Learning for Text Categorization Workshop. AAAI Technical Report WS-98-05.

Rule Learning

William Cohen. 1995. Fast effective rule induction. In Proceedings of the Twelfth International Conference on Machine Learning.

Reinforcement Learning

Singh S., Sutton R. S. 1996. Reinforcement Learning with Replacing Eligibility Traces. Machine Learning, vol. 22, pages 123-158. (Gzipped Postscript)

Document Similarity

Andrei Broder. 1997. On the resemblance and containment of documents. In Compression and Complexity of Sequences (SEQUENCES'97), pp 21-29. (Postscript)
Andrei Z. Broder, Steven C. Glassman, Mark S. Manasse, Geoffrey Zweig. 1997. Syntactic Clustering of the Web. SRC Technical Note 1997-015, July 25, 1997. (HTML)

jrennie@justresearch.com | Last updated 3/10/99