Stebėti
Andrew Moore
Andrew Moore
Dean, School of Computer Science, Carnegie Mellon
Patvirtintas el. paštas cs.cmu.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Reinforcement learning: A survey
LP Kaelbling, ML Littman, AW Moore
Journal of artificial intelligence research 4, 237-285, 1996
114471996
X-means: Extending k-means with efficient estimation of the number of clusters.
D Pelleg, AW Moore
Icml 1, 727-734, 2000
38142000
Locally weighted learning
CG Atkeson, AW Moore, S Schaal
Lazy learning, 11-73, 1997
24601997
Prioritized sweeping: Reinforcement learning with less data and less time
AW Moore, CG Atkeson
Machine learning 13, 103-130, 1993
12901993
Toward the accurate identification of network applications
AW Moore, K Papagiannaki
International workshop on passive and active network measurement, 41-54, 2005
12332005
Generalization in reinforcement learning: Safely approximating the value function
J Boyan, A Moore
Advances in neural information processing systems 7, 1994
9171994
Locally weighted learning for control
CG Atkeson, AW Moore, S Schaal
Lazy learning, 75-113, 1997
8051997
Discriminators for use in flow-based classification
A Moore, D Zuev, M Crogan
6892013
An investigation of practical approximate nearest neighbor algorithms
T Liu, A Moore, K Yang, A Gray
Advances in neural information processing systems 17, 2004
6122004
Accelerating exact k-means algorithms with geometric reasoning
D Pelleg, A Moore
Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999
5981999
Efficient memory-based learning for robot control
AW Moore
University of Cambridge, Computer Laboratory, 1990
5481990
The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces
A Moore
Advances in neural information processing systems 6, 1993
5151993
Hoeffding races: Accelerating model selection search for classification and function approximation
O Maron, A Moore
Advances in neural information processing systems 6, 1993
4541993
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Acm sigkdd explorations newsletter 7 (2), 31-40, 2005
4512005
Dynamic social network analysis using latent space models
P Sarkar, AW Moore
Acm sigkdd explorations newsletter 7 (2), 31-40, 2005
4512005
Distributed value functions
J Schneider, WK Wong, A Moore, M Riedmiller
Carnegie Mellon University, 1999
4371999
Variable resolution discretization in optimal control
R Munos, A Moore
Machine learning 49, 291-323, 2002
4122002
Efficient algorithms for minimizing cross validation error
AW Moore, MS Lee
Machine Learning Proceedings 1994, 190-198, 1994
4091994
Efficient algorithms for minimizing cross validation error
AW Moore, MS Lee
Machine Learning Proceedings 1994, 190-198, 1994
4091994
Gradient descent for general reinforcement learning
L Baird, A Moore
Advances in neural information processing systems 11, 1998
4051998
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Straipsniai 1–20