415 search results - page 28 / 83 » A practical generalization of Fourier-based learning |
NEUROSCIENCE
2001
Springer
14 years 2 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
TOPNOC
2008
13 years 10 months ago
2008
"How can we make sure our students learn what we want them to?" is the number one question in teaching. This paper is intended to provide the reader with: i) a general a...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...