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128
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NIPS
2007
15 years 3 months ago
2007
Active learning sequentially selects unlabeled instances to label with the goal of reducing the effort needed to learn a good classifier. Most previous studies in active learning...
159
Voted
SDM
2008
SIAM
15 years 3 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...
113
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ECML
2007
Springer
15 years 8 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
117
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ICIC
2007
Springer
15 years 8 months ago
2007
Springer
In most contexts, learning is essential for the long-term autonomy of an agent. We describes here some essential and fundamental learning mechanisms implemented in a cognitive auto...
130
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CSL
2008
Springer
15 years 2 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...