{"product_id":"9783642290282","title":"Minimum Error Entropy Classification","description":"This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals.   \u003cp\u003e Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions. \u003c\/p\u003e","brand":"Springer Berlin Heidelberg","offers":[{"title":"Default Title","offer_id":46412447809777,"sku":"9783642290282","price":109.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9783642290282_p0.jpg?v=1765322701","url":"https:\/\/shop.barnesandnoble.com\/products\/9783642290282","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}