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Learning in non-stationary environments: methods and applications

Moamar Sayed-Mouchaweh, Edwin Lughofer ([, Springer], 2012)

 Abstrak

Learning in non-stationary environments : methods and applications offers a wide-ranging, comprehensive review of recent developments and important methodologies in the field. The coverage focuses on dynamic learning in unsupervised problems, dynamic learning in supervised classification and dynamic learning in supervised regression problems. A later section is dedicated to applications in which dynamic learning methods serve as keystones for achieving models with high accuracy. Rather than rely on a mathematical theorem/proof style, the editors highlight numerous figures, tables, examples and applications, together with their explanations.

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Jenis Koleksi : eBooks
No. Panggil : e20418622
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : New York: [, Springer], 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-1-4419-8020-5
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