1553 search results - page 111 / 311 » Learning from Multiple Sources of Inaccurate Data |
120
Voted
WSC
2004
15 years 5 months ago
2004
This work provides a generalization of the traditional response surface methodology (RSM) that can be applied to complex, multi-objective simulation studies. These problems involv...
136
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
154
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AAAI
2011
14 years 3 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
140
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NIPS
1994
15 years 5 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...
174
Voted
AMDO
2010
Springer
15 years 1 months ago
2010
Springer
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...