5463 search results - page 367 / 1093 » Evaluating algorithms that learn from data streams |
165
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
152
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
188
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AIIA
2007
Springer
16 years 25 days ago
2007
Springer
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
173
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IROS
2007
IEEE
16 years 28 days ago
2007
IEEE
— In this paper, we introduce a modified Kalman filter that can perform robust, real-time outlier detection in the observations, without the need for parameter tuning. Robotic ...
210
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
If all features causing heterogeneity were observed, a mixture of experts approach (Jacobs et al., 1991) is likely to be superior to using a single model. When unobserved or very n...