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145
Voted
COLT
2007
Springer
15 years 10 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
145
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ICRA
2005
IEEE
15 years 10 months ago
2005
IEEE
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
142
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
128
Voted
ISPW
2008
IEEE
15 years 11 months ago
2008
IEEE
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...
132
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IROS
2007
IEEE
15 years 11 months ago
2007
IEEE
— This paper presents an algorithm for adapting periodic behavior to gradual shifts in task parameters. Since learning optimal control in high dimensional domains is subject to t...