3050 search results - page 294 / 610 » On-line Algorithms in Machine Learning |
201
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
161
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We revisit recently proposed algorithms for probabilistic clustering with pair-wise constraints between data points. We evaluate and compare existing techniques in terms of robust...
163
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Residual gradient (RG) was proposed as an alternative to TD(0) for policy evaluation when function approximation is used, but there exists little formal analysis comparing them ex...
162
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
171
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...