4255 search results - page 506 / 851 » On Learning Boolean Functions |
182
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KDD
2010
ACM
15 years 8 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
189
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We define a new model of quantum learning that we call Predictive Quantum (PQ). This is a quantum analogue of PAC, where during the testing phase the student is only required to a...
215
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
158
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
We consider the task of learning to accurately follow a trajectory in a vehicle such as a car or helicopter. A number of dynamic programming algorithms such as Differential Dynami...
173
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HICSS
2006
IEEE
16 years 22 days ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...