An interdisciplinary framework for learning methodologies—covering 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—showing 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.
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With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...
评分With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...
评分With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...
评分With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...
评分With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...
用户评价
An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.
评分An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.
评分An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.
评分An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.
评分An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.
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