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Download the fantastic book titled Sampling Techniques for Supervised or Unsupervised Tasks written by Frédéric Ros, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Sampling Techniques for Supervised or Unsupervised Tasks", which was released on 26 October 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Sampling Techniques for Supervised or Unsupervised Tasks by Frédéric Ros PDF

This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and models of sampling methods for managing scalability and the “curse of dimensionality”, their implementations, evaluations, and applications. A large part of the book is dedicated to database comprising standard feature vectors, and a special section is reserved to the handling of more complex objects and dynamic scenarios. The book is ideal for anyone teaching or learning pattern recognition and interesting teaching or learning pattern recognition and is interested in the big data challenge. It provides an accessible introduction to the field and discusses the state of the art concerning sampling techniques for supervised and unsupervised task. Provides a comprehensive description of sampling techniques for unsupervised and supervised tasks; Describe implementation and evaluation of algorithms that simultaneously manage scalable problems and curse of dimensionality; Addresses the role of sampling in dynamic scenarios, sampling when dealing with complex objects, and new challenges arising from big data. "This book represents a timely collection of state-of-the art research of sampling techniques, suitable for anyone who wants to become more familiar with these helpful techniques for tackling the big data challenge." M. Emre Celebi, Ph.D., Professor and Chair, Department of Computer Science, University of Central Arkansas "In science the difficulty is not to have ideas, but it is to make them work" From Carlo Rovelli

Sampling Techniques for Supervised or Unsupervised Tasks

Detail About Sampling Techniques for Supervised or Unsupervised Tasks PDF

  • Author : Frédéric Ros
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Total Pages : 232 pages
  • ISBN : 3030293491
  • PDF File Size : 39,6 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Sampling Techniques for Supervised or Unsupervised Tasks

Sampling Techniques for Supervised or Unsupervised Tasks
  • Publisher : Springer Nature
  • File Size : 31,9 Mb
  • Release Date : 26 October 2019
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This book describes in detail sampling techniques that can be used for unsupervised and supervised cases, with a focus on sampling techniques for machine learning algorithms. It covers theory and

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  • Release Date : 02 April 2023
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Multi-Objective Combinatorial Optimization Problems and Solution Methods
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  • Release Date : 09 February 2022
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Build machine learning algorithms using graph data and efficiently exploit topological information within your models Key Features Implement machine learning techniques and algorithms in graph data Identify the relationship between

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  • Publisher : Springer Nature
  • File Size : 53,6 Mb
  • Release Date : 01 January 2023
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This book constitutes the proceedings of the Second International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022, held in Bragança, Portugal, in October 2022. The 53 full papers and 3 short

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  • Release Date : 25 July 2014
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Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning.