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ICANN
2005
Springer
14 years 2 months ago
Model Selection Under Covariate Shift
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
Masashi Sugiyama, Klaus-Robert Müller
ICANN
2005
Springer
14 years 2 months ago
Reinforcement Learning in MirrorBot
For this special session of EU projects in the area of NeuroIT, we will review the progress of the MirrorBot project with special emphasis on its relation to reinforcement learning...
Cornelius Weber, David Muse, Mark Elshaw, Stefan W...
ICAISC
2004
Springer
14 years 2 months ago
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets
A task of a stock index prediction is presented in this paper. Several issues are considered. The data is gathered at the concerned stock market (NIKKEI) and two other markets (NAS...
Marcin Jaruszewicz, Jacek Mandziuk
ICANN
2003
Springer
14 years 1 months ago
Dimensionality Reduction through Sensory-Motor Coordination
The problem of category learning has been traditionally investigated by employing disembodied categorization models. One of the basic tenets of embodied cognitive science states th...
I. René J. A. te Boekhorst, Max Lungarella,...
ICANN
2009
Springer
14 years 1 months ago
Empirical Study of the Universum SVM Learning for High-Dimensional Data
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
Vladimir Cherkassky, Wuyang Dai