Incremental Learning in Intelligent Systems (IEEE Press Series on Computational Intelligence)

* Read # Incremental Learning in Intelligent Systems (IEEE Press Series on Computational Intelligence) by Seiichi Ozawa, Shaoning Pang, Nikola Kasabov ✓ eBook or Kindle ePUB. Incremental Learning in Intelligent Systems (IEEE Press Series on Computational Intelligence) ]

Incremental Learning in Intelligent Systems (IEEE Press Series on Computational Intelligence)

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Rating : 4.80 (854 Votes)
Asin : 0470879173
Format Type : paperback
Number of Pages : 350 Pages
Publish Date : 2015-06-04
Language : English

DESCRIPTION:

Part of the IEEE series on Computational Intelligence, this book offers the first text to cover both single task and multiple task incremental learning. Providing readers across multiple disciplines with a common foundation to work from, this book will prove an essential resource in efforts to develop new learning theories and algorithms, and in building new types of intelligent systems.. The broad coverage encompasses both incremental learning theories and practical applications including pattern recognition, time-series prediction, outlier detection, adaptive robotics, bioinformatics, and biomedical diagnosis

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