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Publications in Venue "MLJ"

1. A. Antos, C. Szepesvari, R. Munos. "Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path". Machine Learning Journal (MLJ), June 2007. PDFview
2. C. Drummond, R. Holte. "Cost Curves: An Improved Method for Visualizing Classifier Performance". Machine Learning Journal (MLJ), 65(1), pp 95-130, October 2006. view
3. L. Kocsis, C. Szepesvari. "Universal Parameter Optimisation in Games Based on SPSA". Machine Learning Journal (MLJ), 63, pp 249-286, January 2006. PDFview
4. S. Wang, D. Schuurmans, F. Peng, Y. Zhao. "Combining Statistical Language Models Via the Latent Maximum Entropy Principle". Machine Learning Journal (MLJ), 60(1-3), pp 229-250, September 2005. view
5. R. Greiner, X. Su, B. Shen, W. Zhou. "Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers". Machine Learning Journal (MLJ), (ed: P. Larranaga, J.A. Lozano, J.M. Pena, I. Inza), 59(3), pp 297--322, June 2005. PDFview
6. L. Nada, H. Motoda, T. Fawcett, R. Holte, P. Langley, P. Adriaans. "Introduction: Lessons Learned from Data Mining Applications and Collaborative Problem Solving". Machine Learning Journal (MLJ), pp 13-34, January 2004. PDFview
7. D. Schuurmans, F. Southey. "Metric-Based Methods for Adaptive Model Selection and Regularization". Machine Learning Journal (MLJ), 48(1-3), pp 51-84, January 2002. PDFview
8. 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
9. M. Kubat, R. Holte, S. Matwin. "Machine Learning for the Detection of Oil Spills in Satellite Radar Images". Machine Learning Journal (MLJ), 30(2-3), pp 195-216, January 1998. PDFview
10. S. Singh, R. Sutton. "Reinforcement Learning With Replacing Eligibility Traces". Machine Learning Journal (MLJ), (22), pp 123-158, January 1996. view
11. R. Holte. "Very Simple Classification Rules Perform Well on Most Commonly Used Datasets". Machine Learning Journal (MLJ), 11, pp 63-91, January 1993. PSview
12. R. Sutton. "Introduction: The Challenge of Reinforcement Learning". Machine Learning Journal (MLJ), (ed: R.Sutton), 8(3-4), pp 225-227, January 1992. view
13. R. Greiner, B. Silver, S. Becker, M. Gruninger. "A Review of Machine Learning papers of AAAI-87". Machine Learning Journal (MLJ), 3(1), pp 79-92, August 1988. view
14. R. Sutton. "Learning to Predict by the Methods of Temporal Differences". Machine Learning Journal (MLJ), 3(1), pp 9-44, January 1988. view
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