70 search results - page 3 / 14 » Transfer Learning and Intelligence: an Argument and Approach |
AAAI
2007
13 years 7 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
AAMAS
2008
Springer
13 years 5 months ago
2008
Springer
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
ARGMAS
2006
Springer
13 years 9 months ago
2006
Springer
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
AAAI
2011
12 years 5 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
ICCBR
2009
Springer
13 years 12 months ago
2009
Springer
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...