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» Adaptive Kernel Methods Using the Balancing Principle
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TSP
2008
89views more  TSP 2008»
13 years 7 months ago
The Kernel Least-Mean-Square Algorithm
The combination of the famed kernel trick and the least-mean-square (LMS) algorithm provides an interesting sample by sample update for an adaptive filter in reproducing Kernel Hil...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
13 years 11 months ago
Credit assignment in adaptive evolutionary algorithms
In this paper, a new method for assigning credit to search operators is presented. Starting with the principle of optimizing search bias, search operators are selected based on an...
James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker
ECRTS
2002
IEEE
14 years 18 days ago
'QoS Safe' Kernel Extensions for Real-Time Resource Management
General-purpose operating systems are ill-equipped to meet the quality of service (QoS) requirements of complex real-time applications. Consequently, many classes of realtime appl...
Richard West, Jason Gloudon
AIPS
2006
13 years 9 months ago
Automated Planning Using Quantum Computation
This paper presents an adaptation of the standard quantum search technique to enable application within Dynamic Programming, in order to optimise a Markov Decision Process. This i...
Sanjeev Naguleswaran, Langford B. White, I. Fuss
ECML
2005
Springer
14 years 1 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...