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Andrew Moore
Andrew Moore
Dean, School of Computer Science, Carnegie Mellon
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
119391996
X-means: Extending K-means with E cient Estimation of the Number of Clusters
D Pelleg, A Moore
ICML’00, 727-734, 2000
38932000
Locally weighted learning
CG Atkeson, AW Moore, S Schaal
Lazy learning, 11-73, 1997
24731997
Prioritized sweeping: Reinforcement learning with less data and less time
AW Moore, CG Atkeson
Machine learning 13, 103-130, 1993
13141993
Toward the accurate identification of network applications
AW Moore, K Papagiannaki
International workshop on passive and active network measurement, 41-54, 2005
12582005
Generalization in reinforcement learning: Safely approximating the value function
J Boyan, A Moore
Advances in neural information processing systems 7, 1994
9211994
Locally weighted learning for control
CG Atkeson, AW Moore, S Schaal
Lazy learning, 75-113, 1997
8071997
Discriminators for use in flow-based classification
A Moore, D Zuev, M Crogan
7092013
An investigation of practical approximate nearest neighbor algorithms
T Liu, A Moore, K Yang, A Gray
Advances in neural information processing systems 17, 2004
6182004
Accelerating exact k-means algorithms with geometric reasoning
D Pelleg, A Moore
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
6091999
Efficient memory-based learning for robot control
AW Moore
University of Cambridge, Computer Laboratory, 1990
5691990
The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces
A Moore
Advances in neural information processing systems 6, 1993
5111993
Hoeffding races: Accelerating model selection search for classification and function approximation
O Maron, A Moore
Advances in neural information processing systems 6, 1993
4591993
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Acm sigkdd explorations newsletter 7 (2), 31-40, 2005
4572005
Variable resolution discretization in optimal control
R Munos, A Moore
Machine learning 49, 291-323, 2002
4232002
Gradient descent for general reinforcement learning
L Baird, A Moore
Advances in neural information processing systems 11, 1998
4141998
Re-architecting datacenter networks and stacks for low latency and high performance
M Handley, C Raiciu, A Agache, A Voinescu, AW Moore, G Antichi, ...
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017
4122017
Efficient algorithms for minimizing cross validation error
AW Moore, MS Lee
Machine Learning Proceedings 1994, 190-198, 1994
4061994
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
3941999
N-Body'problems in statistical learning
A Gray, A Moore
Advances in neural information processing systems 13, 2000
3762000
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