2252 search results - page 299 / 451 » A distributed machine learning framework |
100
Voted
ATAL
2010
Springer
15 years 1 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
149
Voted
CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
101
click to vote
AAMAS
2007
Springer
15 years 24 days ago
2007
Springer
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
98
Voted
TSMC
2008
15 years 16 days ago
2008
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
122
click to vote
PR
2011
14 years 3 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...