1419 search results - page 99 / 284 » Approximation Methods for Supervised Learning |
99
Voted
ACCV
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a nov...
HAIS
2009
Springer
15 years 4 months ago
2009
Springer
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
74
Voted
ATAL
2007
Springer
15 years 6 months ago
2007
Springer
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
148
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SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
101
Voted
SMI
2008
IEEE
15 years 6 months ago
2008
IEEE
A local shape feature has an advantage in dealing with deformable or articulated 3D models. We evaluate the performance of our local, 2D visual features and their integration meth...