2178 search results - page 108 / 436 » Problems of learning in multi-agent systems |
216
Voted
GECCO
2011
Springer
14 years 7 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
136
Voted
EDUTAINMENT
2008
Springer
15 years 5 months ago
2008
Springer
Machine learning is a key technology to design and create intelligent systems, products, and related services. Like many other design departments, we are faced with the challenge t...
154
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
159
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
163
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EDM
2010
15 years 5 months ago
2010
It is argued that the analysis of the learner's generated log files during interactions with a learning environment is necessary to produce interpretative views of their activ...