3318 search results - page 7 / 664 » The Weak Instance Model |
DIS
2009
Springer
14 years 1 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
EMMCVPR
2011
Springer
12 years 6 months ago
2011
Springer
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
DOCENG
2007
ACM
13 years 11 months ago
2007
ACM
The first steps towards bridging the paper-digital divide have been achieved with the development of a range of technologies that allow printed documents to be linked to digital c...
NIPS
2004
13 years 8 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
SARA
2009
Springer
14 years 1 months ago
2009
Springer
Tailoring solver-independent constraint instances to target solvers is an important component of automated constraint modelling. We augment the tailoring process by a set of enhan...