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» Learning to Select a Ranking Function
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CEC
2005
IEEE
13 years 10 months ago
Rank and proximity based crossover (RPC) to improve convergence in genetic search
A new crossover technique, we named Rank and Proximity Based Crossover (RPC), to improve the speed and quality of solutions in Genetic search, is proposed. In the proposed strategy...
Goutam Chakraborty, Basabi Chakraborty
AAAI
2012
11 years 10 months ago
The Price of Neutrality for the Ranked Pairs Method
The complexity of the winner determination problem has been studied for almost all common voting rules. A notable exception, possibly caused by some confusion regarding its exact ...
Markus Brill, Felix A. Fischer
IJCAI
2007
13 years 9 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...
ICARIS
2009
Springer
14 years 2 months ago
On AIRS and Clonal Selection for Machine Learning
AIRS is an immune-inspired supervised learning algorithm that has been shown to perform competitively on some common datasets. Previous analysis of the algorithm consists almost ex...
Chris McEwan, Emma Hart
ICML
2006
IEEE
14 years 8 months ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...