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» Using Machine Learning to Focus Iterative Optimization
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AAAI
2008
15 years 5 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
ECTEL
2009
Springer
15 years 7 months ago
The Conceptual and Architectural Design of a System Supporting Exploratory Learning of Mathematics Generalisation
Abstract. The MiGen project is designing and developing an intelligent, exploratory environment to support 11–14-year-old students in their learning of mathematical generalisatio...
Darren Pearce, Alexandra Poulovassilis
SBRN
1998
IEEE
15 years 7 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
NIPS
2008
15 years 4 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
15 years 7 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger