4660 search results - page 20 / 932 » Learning from imperfect data |
169
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
Multi-instance multi-label learning (MIML) refers to the
learning problems where each example is represented by a
bag/collection of instances and is labeled by multiple labels.
...
85
Voted
KDD
2002
ACM
16 years 3 months ago
2002
ACM
106
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ICALT
2006
IEEE
15 years 8 months ago
2006
IEEE
In this paper we propose a schema and framework for recording and managing attention metadata. This framework is intended to capture, manage, and re-use data about attention users...
125
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
128
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IDA
2010
Springer
15 years 1 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...