16 search results - page 3 / 4 » Multi-Label Learning by Instance Differentiation |
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
NN
2000
Springer
14 years 9 months ago
2000
Springer
A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
ICAI
2010
14 years 8 months ago
2010
Given a subset of data that differs from the rest, a user often wants an explanation as to why this is the case. For instance, in a database of flights, a user may want to understa...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...