1180 search results - page 35 / 236 » An Instance Selection Approach to Multiple Instance Learning |
CPAIOR
2004
Springer
14 years 2 months ago
2004
Springer
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
EOR
2006
13 years 8 months ago
2006
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
ALGORITHMICA
2006
13 years 9 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
ACCV
2009
Springer
14 years 3 months ago
2009
Springer
The method based on local features has an advantage that the important local motion feature is represented as bag-of-features, but lacks the location information. Additionally, in ...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...