377 search results - page 1 / 76 » Learning with Knowledge from Multiple Experts |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
EKAW
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. This paper presents one approach to acquire knowledge from multiple experts. The experts are grouped into multilevel hierarchical structure, according to the type of know...
IJCAI
2007
13 years 6 months ago
2007
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
ICANN
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. In many supervised learning tasks it can be costly or infeasible to obtain objective, reliable labels. We may, however, be able to obtain a large number of subjective, po...
ICML
2009
IEEE
13 years 11 months ago
2009
IEEE
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...