Method for boosting the performance of machine-learning...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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Details

C706S025000, C706S047000, C706S048000

Reexamination Certificate

active

07016881

ABSTRACT:
A novel statistical learning procedure that can be applied to many machine-learning applications is presented. Although this boosting learning procedure is described with respect to its applicability to face detection, it can be applied to speech recognition, text classification, image retrieval, document routing, online learning and medical diagnosis classification problems.

REFERENCES:
Robert E. Schapire et al, Improved Boosting Algorithms Using Confidence-Rated Predictions, 1998, Machine Learning, In Proceedings of the Eleventh Annual Conference on Computational Learning Theory, p 80-91.
P. Pudil et al., Floating Search Methods for Feature Selection With Nonmonotonic Criteria Functions, Department of Electronic and Electrical Engineering, University of Surrey Guildford, UK, 1994.

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