Meta Learning in Computational Intelligence Book [PDF] Download

Download the fantastic book titled Meta Learning in Computational Intelligence written by Norbert Jankowski, 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 "Meta Learning in Computational Intelligence", which was released on 10 June 2011. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Meta Learning in Computational Intelligence by Norbert Jankowski PDF

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.


Detail About Meta Learning in Computational Intelligence PDF

  • Author : Norbert Jankowski
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Total Pages : 359 pages
  • ISBN : 3642209807
  • PDF File Size : 29,7 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Meta-Learning in Computational Intelligence

Meta-Learning in Computational Intelligence
  • Publisher : Springer
  • File Size : 21,7 Mb
  • Release Date : 10 June 2011
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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

Meta-Scientific Study of Artificial Intelligence

Meta-Scientific Study of Artificial Intelligence
  • Publisher : IAP
  • File Size : 27,5 Mb
  • Release Date : 01 May 2021
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The book studies artificial intelligence as a new reality and a perspective direction for the modern economy’s development, as well as its future technological basis. The book forms a

Meta Intelligence

Meta Intelligence
  • Publisher : Independently Published
  • File Size : 34,5 Mb
  • Release Date : 30 May 2020
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Everyone knows that high IQ is no guarantee of success, but Emotional Intelligence (EQ) is no guarantee either. This book explains why and provides a new construct that fills the

Foundations of Computational Intelligence

Foundations of Computational Intelligence
  • Publisher : Springer Science & Business Media
  • File Size : 50,5 Mb
  • Release Date : 05 May 2009
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Recent years have seen numerous applications across a variety of fields using various techniques of Computational Intelligence. This book, one of a series on the foundations of Computational Intelligence, is

Meta-Learning in Decision Tree Induction

Meta-Learning in Decision Tree Induction
  • Publisher : Springer
  • File Size : 25,9 Mb
  • Release Date : 11 September 2013
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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 machine learning algorithms. The book

Meta-cognition

Meta-cognition
  • Publisher : Nova Publishers
  • File Size : 29,9 Mb
  • Release Date : 02 June 2024
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Over the past two decades, the word 'metacognition' has become a regularly used part of our language and vocabulary in both psychology and education. Many research articles have been written

Artificial Intelligence in Theory and Practice III

Artificial Intelligence in Theory and Practice III
  • Publisher : Springer
  • File Size : 28,5 Mb
  • Release Date : 26 August 2010
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The papers in this volume comprise the refereed proceedings of the conference Arti- cial Intelligence in Theory and Practice (IFIP AI 2010), which formed part of the 21st World Computer Congress

Universal Meta Data Models

Universal Meta Data Models
  • Publisher : John Wiley & Sons
  • File Size : 33,9 Mb
  • Release Date : 25 March 2004
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* The heart of the book provides the complete set of models that will support most of an organization's core business functions, including universal meta models for enterprise-wide systems, business meta

Metaverse Applications for Intelligent Healthcare

Metaverse Applications for Intelligent Healthcare
  • Publisher : IGI Global
  • File Size : 23,7 Mb
  • Release Date : 24 November 2023
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Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already