3378 search results - page 253 / 676 » Learning in Friedberg Numberings |
198
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AIIA
2003
Springer
15 years 12 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
210
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ICMLA
2003
15 years 8 months ago
2003
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...
147
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
An approach for fast tracking of arbitrary image features with no prior model and no offline learning stage is presented. Fast tracking is achieved using banks of linear displacem...
184
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
141
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
We propose efficient particle smoothing methods for generalized state-spaces models. Particle smoothing is an expensive O(N2 ) algorithm, where N is the number of particles. We ov...