[PDF] Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)

ISBN: 3540316817

Category: Tutorial


Posted on 2017-10-16, by luongquocchinh.

Description



Author: Te-Ming Huang | Publisher: Springer | Category: Algorithms | Language: English | Page: 260 | ISBN: 3540316817 | ISBN13: 9783540316817 |

Description: The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.

DOWNLOADDownload this book
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence).pdf
http://uploaded.net/file/4obynq3s

Sponsored High Speed Downloads
5858 dl's @ 2251 KB/s
Download Now [Full Version]
8203 dl's @ 3782 KB/s
Download Link 1 - Fast Download
9328 dl's @ 2018 KB/s
Download Mirror - Direct Download



Search More...
[PDF] Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)

Search free ebooks in ebookee.com!


Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 32443
  2. 2013-03-08Te-Ming Huang, Kernel Based Algorithms for Mining Huge Data Sets (Repost)
  3. 2010-11-22Kernel Based Algorithms for Mining Huge Data Sets (Repost)
  4. 2010-02-21Kernel Based Algorithms for Mining Huge Data Sets
  5. 2018-01-16[PDF] Disk-Based Algorithms for Big Data
  6. 2017-12-08[PDF] Simulation-Based Algorithms for Markov Decision Processes
  7. 2018-01-10[PDF] Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
  8. 2017-04-06[PDF] School-Based Interventions for Struggling Readers, K-8 (Literacy Research, Practice and Evaluation)
  9. 2018-01-25[PDF] Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): Learning, Optimization and Interdisciplinary Applications (Studies in Computational Intelligence) [German]
  10. 2018-01-07[PDF] Evolutionary Algorithms and Chaotic Systems (Studies in Computational Intelligence)
  11. 2017-11-04[PDF] Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling (Studies in Computational Intelligence)
  12. 2017-10-24[PDF] Systematic Design for Emergence in Cellular Nonlinear Networks: With Applications in Natural Computing and Signal Processing- (Studies in Computational Intelligence)
  13. 2017-10-17[PDF] Soft Computing for Intelligent Control and Mobile Robotics (Studies in Computational Intelligence)
  14. 2017-10-14[PDF] Intelligent Web Data Management: Software Architectures and Emerging Technologies (Studies in Computational Intelligence)
  15. 2017-10-03[PDF] Hybrid Classifiers: Methods of Data, Knowledge, and Classifier Combination (Studies in Computational Intelligence)
  16. 2011-08-15Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
  17. 2011-01-19Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
  18. 2011-01-17Introduction to Data Mining and its Applications (Studies in Computational Intelligence)(repost)
  19. 2007-07-06Introduction to Data Mining and its Applications (Studies in Computational Intelligence)
  20. 2018-06-09TensorFlow 1.X Recipes for Supervised and Unsupervised Learning

Comments

No comments for "[PDF] Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning (Studies in Computational Intelligence)".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.

    required

    required, will not be published

    need login

    required

    Not clear? Click here to refresh.

    Back to Top