11325 search results - page 84 / 2265 » Active Model Selection |
135
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SDM
2009
SIAM
16 years 12 days ago
2009
SIAM
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
138
Voted
ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
121
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
115
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Active learning algorithms attempt to accelerate the learning process by requesting labels for the most informative items first. In real-world problems, however, there ma...
115
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Proactive learning is a generalization of active learning designed to relax unrealistic assumptions and thereby reach practical applications. Active learning seeks to select the m...