421 search results - page 59 / 85 » Reducing Label Complexity by Learning From Bags |
107
Voted
ATAL
2010
Springer
14 years 10 months ago
2010
Springer
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
75
Voted
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
FOCS
2005
IEEE
15 years 3 months ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
96
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...