330 search results - page 26 / 66 » Learning Concept Importance Using a Weighted Dependence Mode... |
ACL
2008
13 years 9 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
IEAAIE
2011
Springer
12 years 11 months ago
2011
Springer
Domain specific terminologies represent important concepts when students study a subject. If the sentences which describe important concepts related to a terminology can be accesse...
NIPS
1997
13 years 9 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...