| Reinforcement learning: A survey LP Kaelbling, ML Littman, AW Moore Journal of artificial intelligence research 4, 237-285, 1996 | 10989 | 1996 |
| X-means: Extending k-means with efficient estimation of the number of clusters. D Pelleg, AW Moore Icml 1, 727-734, 2000 | 3712 | 2000 |
| Locally weighted learning CG Atkeson, AW Moore, S Schaal Lazy learning, 11-73, 1997 | 2446 | 1997 |
| Prioritized sweeping: Reinforcement learning with less data and less time AW Moore, CG Atkeson Machine learning 13, 103-130, 1993 | 1269 | 1993 |
| Toward the accurate identification of network applications AW Moore, K Papagiannaki International workshop on passive and active network measurement, 41-54, 2005 | 1216 | 2005 |
| Generalization in reinforcement learning: Safely approximating the value function J Boyan, A Moore Advances in neural information processing systems 7, 1994 | 903 | 1994 |
| Locally weighted learning for control CG Atkeson, AW Moore, S Schaal Lazy learning, 75-113, 1997 | 789 | 1997 |
| Discriminators for use in flow-based classification A Moore, D Zuev, M Crogan | 680 | 2013 |
| An investigation of practical approximate nearest neighbor algorithms T Liu, A Moore, K Yang, A Gray Advances in neural information processing systems 17, 2004 | 604 | 2004 |
| Accelerating exact k-means algorithms with geometric reasoning D Pelleg, A Moore Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 580 | 1999 |
| Efficient memory-based learning for robot control AW Moore University of Cambridge, Computer Laboratory, 1990 | 520 | 1990 |
| The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces A Moore Advances in neural information processing systems 6, 1993 | 510 | 1993 |
| Dynamic social network analysis using latent space models P Sarkar, AW Moore Acm sigkdd explorations newsletter 7 (2), 31-40, 2005 | 443 | 2005 |
| Dynamic social network analysis using latent space models P Sarkar, AW Moore Acm sigkdd explorations newsletter 7 (2), 31-40, 2005 | 443 | 2005 |
| Hoeffding races: Accelerating model selection search for classification and function approximation O Maron, A Moore Advances in neural information processing systems 6, 1993 | 443 | 1993 |
| Efficient algorithms for minimizing cross validation error AW Moore, MS Lee Machine Learning Proceedings 1994, 190-198, 1994 | 412 | 1994 |
| Efficient algorithms for minimizing cross validation error AW Moore, MS Lee Machine Learning Proceedings 1994, 190-198, 1994 | 412 | 1994 |
| Variable resolution discretization in optimal control R Munos, A Moore Machine learning 49, 291-323, 2002 | 411 | 2002 |
| Gradient descent for general reinforcement learning L Baird, A Moore Advances in neural information processing systems 11, 1998 | 399 | 1998 |
| Distributed value functions J Schneider, WK Wong, A Moore, M Riedmiller Carnegie Mellon University, 1999 | 390 | 1999 |
