Publications with keyword "PAC"
| 1. | J. Hu, T. Luo, X. Su, J. Dong, W. Tong, R. Goebel, Y. Xu, G. Lin. "Machine scheduling with a maintenance interval and job delivery coordination". Optimization Letters, 10(8), pp 1645-1656, December 2016.   |
| 2. | P. Cao, D. Zhao, O. Zaiane. "Hybrid probabilistic sampling with random subspace for imbalanced data learning". Intelligent Data Analysis: An International Journal, 18(6), pp 1089-1108, November 2014. |
| 3. | L. Lelis, R. Stern, N. Sturtevant. "Estimating Search Tree Size with Duplicate Detection". Symposium on Combinatorial Search, (ed: Stefan Edelkamp, Roman Barták), pp 114-122, August 2014. |
| 4. | P. Cao, D. Zhao, O. Zaiane. "Ensemble-based hybrid probabilistic sampling for imbalanced data learning in Lung nodule CAD". Computerized Medical Imaging and Graphics, 38(3), pp 137-150, April 2014. |
| 5. | M. Hajiloo, R. Greiner. "Assessing the Feasibility of Learning Biomedical Phenotypes via Large Scale Omics Profiles". Neural Information Processing Systems Workshop on Machine Learning in Computational Biology, pp n/a, December 2013. |
| 6. | Z. Cai, R. Goebel, G. Lin. "Size-constrained Tree Partitioning: Approximating the Multicast k-tree Routing Problem". Theoretical Computer Science, 412(3), pp 240-245, January 2011. |
| 7. | A. Foss, O. Zaiane. " Class Separation through Variance: A new Application of Outlier Detection". Knowledge and Information Systems, 29(3), pp 565-596, November 2010. |
| 8. | A. Foss, O. Zaiane, S. Zilles. "Unsupervised Class Separation of Multivariate Data through Cumulative Variance-based Ranking". IEEE International Conference on Data Mining (ICDM), Miami, USA, pp 139-148, December 2009. |
| 9. | S. Kirshner, B. Poczos. "ICA and ISA Using Schweizer-Wolff Measure of Dependence". International Conference on Machine Learning (ICML), July 2008. |
| 10. | A. Driga, P. Lu, J. Schaeffer, D. Szafron, K. Charter, I. Parsons. "FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm". Algorithmica, 45(4), pp 337-375, January 2005. |
| 11. | R. Greiner, A. Grove, D. Roth. "Learning Cost-Sensitive Active Classifiers". Artificial Intelligence (AIJ), 139(2), pp 137--174, September 2002. |
| 12. | R. Holte, I. Hernadvolgyi. "A Space-Time Tradeoff for Memory-Based Heuristics". National Conference on Artificial Intelligence (AAAI), Orlando, Florida, pp 704-709, January 1999. |
| 13. | 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.  |
| 14. | R. Greiner, D. Schuurmans. "Fast Distribution-Specific Learning". Computational Learning Theory and Natural Learning Systems, MIT Press, 4, pp 155-167, August 1997. |
| 15. | T. Scheffer, R. Greiner, C. Darken. "Why Experimentation can be better than `Perfect Guidance'". International Conference on Machine Learning (ICML), Nashville, July 1997. |
| 16. | R. Greiner, D. Schuurmans. "Learning to Classify Incomplete Examples". Conference on Learning Theory (COLT), August 1996. |
| 17. | R. Greiner, A. Grove, D. Roth. "Learning Active Classifiers". International Conference on Machine Learning (ICML), pp 207-215, July 1996. |
| 18. | R. Greiner, P. Orponen. "Probably Approximately Optimal Satisficing Strategies". Artificial Intelligence (AIJ), 82(1-2), pp 21-44, April 1996. |
| 19. | D. Schuurmans, R. Greiner. "Practical PAC Learning". International Joint Conference on Artificial Intelligence (IJCAI), August 1995. |
| 20. | P. Auer, R. Holte, W. Maass. "Theory and Applications of Agnostic PAC-Learning With Small Decision Trees". International Conference on Machine Learning (ICML), pp 21-29, January 1995. |
| 21. | R. Bharat Rao, R. Greiner, T. Hancock. "Exploiting the Absence of Irrelevant Information: What You Don't Know Can Help You". November 1994. |
| 22. | D. Schuurmans, R. Greiner. "Learning Default Concepts". Canadian Conference on Artificial Intelligence (CAI), Banff, Canada, May 1994. |
| 23. | R. Greiner, D. Schuurmans. "Learning an Optimally Accurate Representational System". ECAI Workshop on Theoretical Foundations of Knowledge Representation and Reasoning, Springer Verlag, August 1993. |
| 24. | R. Greiner, D. Schuurmans. "Learning Useful Horn Approximations". Knowledge Representation and Reasoning (KR), Cambridge, United States, October 1992. |
| 25. | R. Greiner, P. Orponen. "Probably Approximately Optimal Derivation Strategies". Knowledge Representation and Reasoning (KR), Boston, April 1991. |
