21 search results - page 1 / 5 » Hebbian Learning of Bayes Optimal Decisions |
NIPS
2008
13 years 6 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
PAKDD
2010
ACM
13 years 9 months ago
2010
ACM
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
AAAI
2000
13 years 6 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...