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Books > Computing & IT > Applications of computing > Artificial intelligence
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Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination (Hardcover, 2014 ed.)
Loot Price: R2,673
Discovery Miles 26 730
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Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination (Hardcover, 2014 ed.)
Series: Studies in Computational Intelligence, 519
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This book delivers a definite and compact knowledge on how
hybridization can help improving the quality of computer
classification systems. In order to make readers clearly realize
the knowledge of hybridization, this book primarily focuses on
introducing the different levels of hybridization and illuminating
what problems we will face with as dealing with such projects. In
the first instance the data and knowledge incorporated in
hybridization were the action points, and then a still growing up
area of classifier systems known as combined classifiers was
considered. This book comprises the aforementioned state-of-the-art
topics and the latest research results of the author and his team
from Department of Systems and Computer Networks, Wroclaw
University of Technology, including as classifier based on feature
space splitting, one-class classification, imbalance data, and data
stream classification.
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