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ALT
2011
Springer
14 years 6 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
AAAI
2007
15 years 8 months ago
Learning Graphical Model Structure Using L1-Regularization Paths
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin ...
ATAL
2010
Springer
15 years 7 months ago
Learning multirobot joint action plans from simultaneous task execution demonstrations
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
Murilo Fernandes Martins, Yiannis Demiris
ATAL
2008
Springer
15 years 8 months ago
Pan-supplier stock control in a virtual warehouse
We describe the commercial application of agents to the handling of catalogue and stock-control for the selling of books on the internet. The primary characteristic of the target ...
Emad El-Deen El-Akehal, Julian A. Padget
KI
1998
Springer
15 years 10 months ago
From Theory to Practice in Multiagent System Design: The Case of Structural Co-operation
Abstract. In Distributed Problem-solving (DPS) systems a group of purposefully designed computational agents interact and co-ordinate their activities so as to jointly achieve a gl...
Sascha Ossowski, Ana García-Serrano, Jos&ea...