1419 search results - page 107 / 284 » Approximation Methods for Supervised Learning |
111
Voted
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
125
Voted
ICCV
2011
IEEE
14 years 16 days ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
93
Voted
ECML
2001
Springer
15 years 5 months ago
2001
Springer
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
101
Voted
CICLING
2005
Springer
15 years 6 months ago
2005
Springer
Information extraction is concerned with applying natural language processing to automatically extract the essential details from text documents. A great disadvantage of current ap...