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» Generalizing over Several Learning Settings
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PODS
2010
ACM
170views Database» more  PODS 2010»
14 years 25 days ago
A learning algorithm for top-down XML transformations
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...
Aurélien Lemay, Sebastian Maneth, Joachim N...
COLT
2008
Springer
13 years 9 months ago
Learning Acyclic Probabilistic Circuits Using Test Paths
We define a model of learning probabilistic acyclic circuits using value injection queries, in which an arbitrary subset of wires is set to fixed values, and the value on the sing...
Dana Angluin, James Aspnes, Jiang Chen, David Eise...
ALT
2009
Springer
13 years 11 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
ICCV
2011
IEEE
12 years 7 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
ECML
2004
Springer
13 years 11 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok