16 search results - page 3 / 4 » Multi-Label Learning by Instance Differentiation |
106
Voted
ICML
2008
IEEE
16 years 3 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...
141
click to vote
KDD
2009
ACM
16 years 3 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, ...
133
Voted
NN
2000
Springer
15 years 2 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...
144
Voted
ICAI
2010
15 years 16 days 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...
128
Voted
CVPR
2007
IEEE
16 years 4 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...