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Publications by Grove, Adam

In Journal (refereed)

1. R. Greiner, A. Grove, D. Roth. "Learning Cost-Sensitive Active Classifiers". Artificial Intelligence (AIJ), 139(2), pp 137--174, September 2002. PDFview
2. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Machine Learning Journal (MLJ), 43(3), pp 179-210, December 2001. PDFview
3. 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

In Conference (refereed)

4. A. Grove, D. Schuurmans. "Boosting in the limit: Maximizing the margin of learned ensembles". National Conference on Artificial Intelligence (AAAI), June 1998. PDFview
5. 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
6. A. Grove, N. Littlestone, D. Schuurmans. "General Convergence Results for Linear Discriminant Updates". Conference on Learning Theory (COLT), June 1997. view
7. R. Greiner, A. Grove, A. Kogan. "Exploiting the Omission of Irrelevant Data". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview
8. R. Greiner, A. Grove, D. Roth. "Learning Active Classifiers". International Conference on Machine Learning (ICML), pp 207-215, July 1996. PDFview

Other Categories

9. R. Greiner, A. Grove, D. Schuurmans. "On Learning Hierarchical Classifications". Value of Information in Inference, Learning and Decision-Making, January 1997. view
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