Learning from data
Vladimir Cherkassky
Filip Mulier
An interdisciplinary framework for learning methodologies#8213covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods from statistics, neural networks, and fuzzy logic can be applied#8213showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.
- No. Panggil 006.3 CHE l
- Edisi
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Pengarang
Vladimir Cherkassky
Filip Mulier - Penerbit New Jersey John Wiley Sons, Inc. 2007
