1027 search results - page 28 / 206 » Learning Similar Tasks From Observation and Practice |
JMLR
2010
13 years 2 months ago
2010
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
AI
2007
Springer
13 years 7 months ago
2007
Springer
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...