410 search results - page 5 / 82 » MILIS: Multiple Instance Learning with Instance Selection |
AAAI
2008
13 years 10 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
NIPS
2003
13 years 9 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...