750 search results - page 87 / 150 » Learning SVMs from Sloppily Labeled Data |
EPIA
2003
Springer
14 years 2 months ago
2003
Springer
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
ICPR
2010
IEEE
14 years 12 days ago
2010
IEEE
The Functions of Multiple Instances (FUMI) method for learning a target prototype from data points that are functions of target and non-target prototypes is introduced. In this pa...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
AAAI
2008
13 years 11 months ago
2008
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regular...