2569 search results - page 204 / 514 » Approximate Objects and Approximate Theories |
152
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NIPS
1994
15 years 7 months ago
1994
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
140
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
182
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ISCI
2008
15 years 6 months ago
2008
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
144
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TMI
2008
15 years 6 months ago
2008
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
151
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
We present methods for training high quality object detectors
very quickly. The core contribution is a pair of fast
training algorithms for piece-wise linear classifiers, which
...