165 search results - page 26 / 33 » Teaching Randomized Learners |
ICML
2006
IEEE
16 years 16 days ago
2006
IEEE
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
102
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TNN
2008
14 years 11 months ago
2008
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
116
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TAL
2010
Springer
14 years 10 months ago
2010
Springer
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...