1345 search results - page 159 / 269 » Efficient Learning of Relational Object Class Models |
139
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
133
Voted
SIGIR
2008
ACM
15 years 3 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
124
Voted
ACISICIS
2007
IEEE
15 years 9 months ago
2007
IEEE
ORN Additive is a prototype tool that was developed to show how the gap between database modeling and implementation can be reduced—more specifically, to show how associations d...
167
Voted
CORR
2012
Springer
13 years 11 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
163
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NEUROSCIENCE
2001
Springer
15 years 7 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...