Decision Forests

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Decision Forests

Author	: Antonio Criminisi
Publisher	: Foundations and Trends(r) in C
Total Pages	: 162
Release	: 2012-03
ISBN-10	: 1601985401
ISBN-13	: 9781601985408
Rating	: 4/5 (408 Downloads)

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Book Synopsis Decision Forests by : Antonio Criminisi

Download or read book Decision Forests written by Antonio Criminisi and published by Foundations and Trends(r) in C. This book was released on 2012-03 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object recognition in images, automatic diagnosis from radiological scans and document analysis.

Decision Forests Related Books

Language: en
Pages: 162

Decision Forests

Authors: Antonio Criminisi

Categories: Computers

Type: BOOK - Published: 2012-03 - Publisher: Foundations and Trends(r) in C

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Presents a unified, efficient model of random decision forests which can be used in a number of applications such as scene recognition from photographs, object

Language: en
Pages: 367

Decision Forests for Computer Vision and Medical Image Analysis

Authors: Antonio Criminisi

Categories: Computers

Type: BOOK - Published: 2013-01-30 - Publisher: Springer Science & Business Media

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This practical and easy-to-follow text explores the theoretical underpinnings of decision forests, organizing the vast existing literature on the field within a

Language: en
Pages: 168

Decision Trees and Random Forests

Authors: Mark Koning

Categories: Computers

Type: BOOK - Published: 2017-10-04 - Publisher: Independently Published

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If you want to learn how decision trees and random forests work, plus create your own, this visual book is for you. The fact is, decision tree and random forest

Language: en
Pages: 152

Tree-based Machine Learning Algorithms

Authors: Clinton Sheppard

Categories: Decision trees

Type: BOOK - Published: 2017-09-09 - Publisher: Createspace Independent Publishing Platform

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"Learn how to use decision trees and random forests for classification and regression, their respective limitations, and how the algorithms that build them work

Language: en
Pages: 290

Advanced Analytics with Spark

Authors: Sandy Ryza

Categories: Computers

Type: BOOK - Published: 2015-04-02 - Publisher: "O'Reilly Media, Inc."

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In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors