1073 search results - page 70 / 215 » An Introduction to Learning Structured Information |
171
Voted
CORR
2011
Springer
14 years 10 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
123
Voted
ICCV
2005
IEEE
15 years 9 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
155
Voted
ACL
2008
15 years 5 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...
134
Voted
AR
2007
15 years 3 months ago
2007
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
138
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...