2898 search results - page 384 / 580 » Ensemble Methods in Machine Learning |
154
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
113
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
This paper presents a method for improving any object tracking algorithm based on machine learning. During the training phase, important trajectory features are extracted which are...
120
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ML
2006
ACM
15 years 4 months ago
2006
ACM
Abstract XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining ...
133
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JMLR
2002
15 years 3 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
135
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CVPR
2010
IEEE
16 years 21 days ago
2010
IEEE
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...