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NPL
2010
135views more  NPL 2010»
14 years 11 months ago
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan
114
Voted
BMCBI
2010
182views more  BMCBI 2010»
15 years 17 days ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
97
Voted
CORR
2007
Springer
164views Education» more  CORR 2007»
15 years 13 days ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
NIPS
2000
15 years 1 months ago
Balancing Multiple Sources of Reward in Reinforcement Learning
For many problems which would be natural for reinforcement learning, the reward signal is not a single scalar value but has multiple scalar components. Examples of such problems i...
Christian R. Shelton
77
Voted
ML
1998
ACM
119views Machine Learning» more  ML 1998»
15 years 3 days ago
A Note on Learning from Multiple-Instance Examples
Avrim Blum, Adam Kalai