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HIS
2008
15 years 8 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
NETWORKING
2007
15 years 8 months ago
Reinforcement Learning-Based Load Shared Sequential Routing
We consider event dependent routing algorithms for on-line explicit source routing in MPLS networks. The proposed methods are based on load shared sequential routing in which load ...
Fariba Heidari, Shie Mannor, Lorne Mason
ESWS
2008
Springer
15 years 9 months ago
Semantic Browsing with PowerMagpie
PowerMagpie is a tool that brings semantic interpretation to classical web pages by dynamically--i.e. during browsing--selecting and making use of a wide range of online available ...
Laurian Gridinoc, Marta Sabou, Mathieu d'Aquin, Ma...
ALT
2005
Springer
16 years 4 months ago
Monotone Conditional Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true ...
Alexey V. Chernov, Marcus Hutter
ICPR
2010
IEEE
16 years 25 days ago
On-Line Random Naive Bayes for Tracking
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
Martin Godec, Christian Leistner, Amir Saffari, Ho...