Meta-Learning in Computational Intelligence

Released on by Norbert Jankowski
preview-18

  • Meta-Learning in Computational Intelligence Book Detail

  • Author : Norbert Jankowski
  • Release Date : 2011-06-10
  • Publisher : Springer Science & Business Media
  • Genre : Computers
  • Pages : 362
  • ISBN 13 : 3642209793
  • File Size : 23,23 MB
DOWNLOAD BOOK

Meta-Learning in Computational Intelligence by Norbert Jankowski PDF Summary

Book Description: Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.

Disclaimer: www.yourbookbest.com does not own Meta-Learning in Computational Intelligence books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Feature Extraction

Feature Extraction

File Size : 33,33 MB
Total View : 6650 Views
DOWNLOAD

This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing

File Size : 51,51 MB
Total View : 3925 Views
DOWNLOAD

The two-volume set LNAI 8467 and LNAI 8468 constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Soft Computi

Semantic Data Mining

Semantic Data Mining

File Size : 73,73 MB
Total View : 1457 Views
DOWNLOAD

Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research a

Meta-Learning in Decision Tree Induction

Meta-Learning in Decision Tree Induction

File Size : 37,37 MB
Total View : 280 Views
DOWNLOAD

The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of