249 search results - page 42 / 50 » Semi-Supervised Multitask Learning |
AAAI
2011
12 years 7 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We show that it is possible to use data compression on independently obtained hypotheses from various tasks to algorithmically provide guarantees that the tasks are sufficiently r...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
ICCV
2009
IEEE
15 years 19 days ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
AAAI
2006
13 years 9 months ago
2006
Related objects may look similar at low-resolutions; differences begin to emerge naturally as the resolution is increased. By learning across multiple resolutions of input, knowle...