8 search results - page 1 / 2 » Learning Probabilistic Hierarchical Task Networks to Capture... |
CORR
2010
Springer
13 years 11 months ago
2010
Springer
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
AIPS
2009
13 years 12 months ago
2009
It has long been recognized that users can have complex preferences on plans. Non-intrusive learning of such preferences by observing the plans executed by the user is an attracti...
AUSDM
2007
Springer
14 years 5 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
FLAIRS
2001
14 years 7 days ago
2001
To successfully interact with users in providing useful information, intelligent user interfaces need a mechanism for recognizing, characterizing, and predicting user actions. In ...
ICPR
2008
IEEE
15 years 1 days ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...