Classification Methods

Classification Methods for Remotely Sensed Data, Second Edition  eBooks & eLearning

Posted by thingska at Feb. 13, 2016
Classification Methods for Remotely Sensed Data, Second Edition

Classification Methods for Remotely Sensed Data, Second Edition by Brandt Tso
English | May 12, 2009 | ISBN: 1420090720 | 376 Pages | CHM | 8.4 MB

Multicriteria Decision Aid Classification Methods (Repost)  eBooks & eLearning

Posted by Specialselection at March 23, 2012
Multicriteria Decision Aid Classification Methods (Repost)

Michael Doumpos, Constantin Zopounidis, "Multicriteria Decision Aid Classification Methods (Applied Optimization)"
English | 2002-08-31 | ISBN: 1402008058 | 263 pages | PDF | 12.3 mb

Multicriteria Decision Aid Classification Methods (Applied Optimization)  eBooks & eLearning

Posted by prestige at Dec. 21, 2009
Multicriteria Decision Aid Classification Methods (Applied Optimization)

Multicriteria Decision Aid Classification Methods (Applied Optimization)
Springer | August 31, 2002 | ISBN: 1402008058 | 268 Pages | PDF | 12 MB

The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic By Jonathan Amezcua
English | PDF,EPUB | 2018 | 78 Pages | ISBN : 3319737724 | 3.75 MB

In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector.

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Repost)  eBooks & eLearning

Posted by step778 at Feb. 21, 2017
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Repost)

Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk, "Nearest-Neighbor Methods in Learning and Vision: Theory and Practice"
2006 | pages: 263 | ISBN: 026219547X | PDF | 28,4 mb

Principles And Advanced Methods In Medical Imaging And Image Analysis (Repost)  eBooks & eLearning

Posted by roxul at Aug. 3, 2014
Principles And Advanced Methods In Medical Imaging And Image Analysis (Repost)

Atam P. Dhawan, "Principles And Advanced Methods In Medical Imaging And Image Analysis"
English | ISBN: 9812705341 | 2008 | 868 pages | PDF | 36 MB

Principles And Advanced Methods In Medical Imaging And Image Analysis  eBooks & eLearning

Posted by nebulae at Nov. 27, 2013
Principles And Advanced Methods In Medical Imaging And Image Analysis

Atam P. Dhawan, "Principles And Advanced Methods In Medical Imaging And Image Analysis"
English | ISBN: 9812705341 | 2008 | 868 pages | PDF | 36 MB

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (repost)  eBooks & eLearning

Posted by interes at June 23, 2013
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (repost)

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice by Gregory Shakhnarovich
English | (March 24, 2006) | ISBN: 026219547X | Pages: 280 | PDF | 7,18 MB

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets.

Classification, (Big) Data Analysis and Statistical Learning  eBooks & eLearning

Posted by AvaxGenius at Feb. 22, 2018
Classification, (Big) Data Analysis and Statistical Learning

Classification, (Big) Data Analysis and Statistical Learning By Francesco Mola
English | PDF,EPUB | 2018 | 243 Pages | ISBN : 3319557076 | 10.13 MB

This edited book focuses on the latest developments in classification, statistical learning, data analysis and related areas of data science, including statistical analysis of large datasets, big data analytics, time series clustering, integration of data from different sources, as well as social networks. It covers both methodological aspects as well as applications to a wide range of areas such as economics, marketing, education, social sciences, medicine, environmental sciences and the pharmaceutical industry.

Cellular Image Classification  eBooks & eLearning

Posted by nebulae at Feb. 20, 2018
Cellular Image Classification

Xiang Xu, Xingkun Wu, Feng Lin, "Cellular Image Classification"
English | 2017 | ISBN: 3319476289 | 137 Pages | EPUB | 4 MB