3449 search results - page 204 / 690 » A Framework for Multiple-Instance Learning |
123
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ICRA
2009
IEEE
15 years 10 months ago
2009
IEEE
— In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting tran...
121
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ICALT
2005
IEEE
15 years 9 months ago
2005
IEEE
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
101
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ESANN
2004
15 years 5 months ago
2004
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that en...
140
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NIPS
1994
15 years 5 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
162
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TIT
2008
15 years 3 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...