2252 search results - page 248 / 451 » A distributed machine learning framework |
102
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AAAI
2008
15 years 3 months ago
2008
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
132
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CVPR
2011
IEEE
14 years 9 months ago
2011
IEEE
In this work, we present an active-learning algorithm for piecewise planar 3D reconstruction of a scene. While previous interactive algorithms require the user to provide tedious i...
PAM
2005
Springer
15 years 6 months ago
2005
Springer
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
108
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JMLR
2010
14 years 7 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
119
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ALT
1995
Springer
15 years 4 months ago
1995
Springer
This paper characterizes the polynomial time learnability of TPk, the class of collections of at most k rst-order terms. A collection in TPk de nes the union of the languages de n...