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Publications in 1997

In Journal (refereed)

1. A. Grove, R. Greiner, A. Kogan. "Knowing What doesn't Matter: Exploiting the Omission of Irrelevant Data". Artificial Intelligence (AIJ), 97(1-2), pp 345--380, December 1997. PSview
2. I. Parsons, R. Uruan, J. Schaeffer, D. Szafron. "PI/OT: Parallel I/O Templates". Parallel Computing, 13(5), pp 561-562, June 1997. view
3. D. Schuurmans. "Characterizing Rational Versus Exponential Learning Curves". Journal of Computer System Sciences, 55(1), pp 140-160, March 1997. view
4. R. Sutton. "On the Significance of Markov Decision Processes". Artificial Neural Networks - ICANN'97, (ed: W. Gerstner, A Germond, M. Hasler, J-D Nicoud), pp 273-282, January 1997. view

In Journal (unrefereed)

5. D. Subramanian, R. Greiner, J. Pearl. "The Relevance of Relevance". Artificial Intelligence (AIJ), 97(1--2), pp 1--8, December 1997. view

In Conference (refereed)

6. M. Ghavamzadeh, C. Lucas, S. Arani. "Forecasting the International Oil and Gold Prices Using Artificial Neural Networks". September 1997. view
7. A. McGovern, R. Sutton, A. Fagg. "Roles of Macro-Actions in Accelerating Reinforcement Learning". Grace Hopper Celebration of Women in Computing, pp 13-17, September 1997. PDFview
8. R. Greiner, A. Grove, D. Schuurmans. "Learning Bayesian Nets that Perform Well". Conference on Uncertainty in Artificial Intelligence (UAI), Providence, Rhode Island, August 1997. PDFview
9. D. Precup, R. Sutton. "Exponentiated Gradient Methods for Reinforcement Learning". International Conference on Machine Learning (ICML), Nashville, pp 272-277, July 1997. PDFview
10. D. Precup, R. Sutton. "Multi-Time Models for Reinforcement Learning". International Conference on Machine Learning (ICML), Nashville, July 1997. view
11. T. Scheffer, R. Greiner, C. Darken. "Why Experimentation can be better than `Perfect Guidance'". International Conference on Machine Learning (ICML), Nashville, July 1997. PSview
12. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Conference on Learning Theory (COLT), June 1997. view
13. D. Precup, R. Sutton, S. Singh. "Planning with Closed-Loop Macro Actions". National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, pp 73-76, May 1997. PDFview
14. D. Schuurmans. "A New Metric-Based Approach to Model Selection". National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, January 1997. PDFview
15. D. Schuurmans, L. Ungar, D. Foster. "Characterizing the Generalization Performance of Model Selection Strategies". International Conference on Machine Learning (ICML), Nashville, January 1997. PDFview

Other Categories

16. R. Greiner, D. Schuurmans. "Fast Distribution-Specific Learning". Computational Learning Theory and Natural Learning Systems, MIT Press, 4, pp 155-167, August 1997. view
17. D. Schuurmans, R. Greiner. "Learning to Classify Incomplete Examples". Computational Learning Theory and Natural Learning Systems, MIT Press, 4, pp 87-105, May 1997. PDFview
18. D. Precup, R. Sutton, S. Singh. "Notes". National Conference on Artificial Intelligence (AAAI), Providence, Rhode Island, January 1997. view
19. R. Greiner, A. Grove, D. Schuurmans. "On Learning Hierarchical Classifications". Value of Information in Inference, Learning and Decision-Making, January 1997. view
20. D. McKeown, M. Bowling, E. Bulwinkle, S. Cochran, S. Ford, W. Harvey, D. Kalp, C. McGlone, J. McMahill, P. Michael, J. Schufelt, D. Yocum. "Research in image understanding and automated cartography:1995-1996". Technical Report, Carnegie Mellon University, January 1997. view
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