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» A Survey of Fast Exponentiation Methods
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ISNN
2007
Springer
14 years 2 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
COLT
2000
Springer
14 years 7 days ago
Bias-Variance Error Bounds for Temporal Difference Updates
We give the first rigorous upper bounds on the error of temporal difference (td) algorithms for policy evaluation as a function of the amount of experience. These upper bounds pr...
Michael J. Kearns, Satinder P. Singh
COLING
1990
13 years 9 months ago
Efficient Disjunctive Unification for Bottom-Up Parsing
This paper describes two novel techniques which, when applied together, in practice significantly reduce the time required for unifying disjunctive feature structures. The first i...
David M. Carter
SIAMMA
2010
122views more  SIAMMA 2010»
13 years 2 months ago
Asymptotic Flocking Dynamics for the Kinetic Cucker-Smale Model
In this paper, we analyse the asymptotic behavior of solutions of the continuous kinetic version of flocking by Cucker and Smale [16], which describes the collective behavior of an...
J. A. Carrillo, M. Fornasier, J. Rosado, G. Toscan...
BMVC
2010
13 years 5 months ago
Generalized RBF feature maps for Efficient Detection
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
Sreekanth Vempati, Andrea Vedaldi, Andrew Zisserma...