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» Using Machine Learning to Focus Iterative Optimization
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126
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ICANN
2009
Springer
15 years 9 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
105
Voted
COLT
2005
Springer
15 years 8 months ago
Learning Convex Combinations of Continuously Parameterized Basic Kernels
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
110
Voted
ECTEL
2007
Springer
15 years 9 months ago
From Informal Learner to Active Content Provider: SLEAM Approach
Creation of the reusable learning content in the process of work is a challenging but promising trend in e-learning and knowledge management. While the main research focus nowadays...
Oleg Rostanin, Markus Ludwar
109
Voted
IJIT
2004
15 years 4 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
123
Voted
ICWE
2005
Springer
15 years 8 months ago
Automatic Optimization of Web Recommendations Using Feedback and Ontology Graphs
Abstract. Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rulebased recommendation system a...
Nick Golovin, Erhard Rahm