410 search results - page 32 / 82 » MILIS: Multiple Instance Learning with Instance Selection |
IAT
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
SIGMOD
2010
ACM
13 years 8 months ago
2010
ACM
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. ...
TNN
2008
13 years 7 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
ALGORITHMICA
2006
13 years 7 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...