1863 search results - page 172 / 373 » Multiagent learning using a variable learning rate |
148
click to vote
INFOCOM
2006
IEEE
16 years 2 days ago
2006
IEEE
— In the context of IEEE 802.11b network testbeds, we examine the differences between unicast and broadcast link properties, and we show the inherent difficulties in precisely e...
203
click to vote
ICB
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...
164
Voted
JMLR
2010
15 years 25 days ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
184
click to vote
JMLR
2006
15 years 6 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
163
click to vote
EUROCAST
2007
Springer
16 years 6 days ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...