Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2005-12-30
2009-06-23
Holmes, Michael B (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
Reexamination Certificate
active
07552098
ABSTRACT:
The time taken to learn a model from training examples is often unacceptable. For instance, training language understanding models with Adaboost or SVMs can take weeks or longer based on numerous training examples. Parallelization thought the use of multiple processors may improve learning speed. The invention describes effective methods to distributed multiclass classification learning on several processors. These methods are applicable to multiclass models where the training process may be split into training of independent binary classifiers.
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AT&T Corporation
Banner & Witcoff , Ltd.
Holmes Michael B
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