1419 search results - page 131 / 284 » Approximation Methods for Supervised Learning |
118
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
102
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MIR
2003
ACM
15 years 5 months ago
2003
ACM
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
105
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ICMLA
2008
15 years 2 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
110
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ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
118
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ML
2002
ACM
15 years 7 days ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...