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129
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
110
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
119
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
153
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ECML
1994
Springer
15 years 7 months ago
1994
Springer
In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies among them. Kira and Rendel...
154
Voted
GIS
1992
ACM
15 years 7 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...