24 search results - page 2 / 5 » Multi-instance multi-label learning |
166
Voted
ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Learning from structured data is becoming increasingly important. However, most prior work on kernel methods has focused on learning from attribute-value data. Only recently, rese...
168
Voted
AAAI
2010
15 years 7 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
208
Voted
NPL
2006
15 years 6 months ago
2006
In multi-instance learning, the training examples are bags composed of instances without labels, and the task is to predict the labels of unseen bags through analyzing the training...
165
Voted
ICTAI
2003
IEEE
15 years 11 months ago
2003
IEEE
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
197
Voted
AAAI
2010
15 years 4 months ago
2010
Multi-instance learning, as other machine learning tasks, also suffers from the curse of dimensionality. Although dimensionality reduction methods have been investigated for many ...