93 search results - page 7 / 19 » Bias Windowing for Relational Learning |
66
Voted
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
AAAI
1996
14 years 11 months ago
1996
Inductive algorithms rely strongly on their representational biases, Constructive induction can mitigate representational inadequacies. This paper introduces the notion of a relat...
CLEF
2011
Springer
13 years 9 months ago
2011
Springer
Wikipedia vandalism identification is a very complex issue, which is now mostly solved manually by volunteers. This paper presents the main components of a system built by our grou...
78
Voted
ACL
2009
14 years 7 months ago
2009
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
87
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...