1601 search results - page 111 / 321 » Learning Gaussian processes from multiple tasks |
156
Voted
IEAAIE
2005
Springer
15 years 9 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
123
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
136
Voted
ACL
2006
15 years 5 months ago
2006
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
147
Voted
ICANN
2005
Springer
15 years 9 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
144
Voted
AMAI
2004
Springer
15 years 9 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...