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{ "item_title" : "Meta-Learning in Computational Intelligence", "item_author" : [" Norbert Jankowski", "Wlodzislaw Duch", "Krzysztof Grąbczewski "], "item_description" : "Universal meta-learning architecture and algorithms.- Meta-learning of instance selection for data summarization.- Choosing the metric: a simple model approach.- Meta-learning Architectures: Collecting, Organizing and Exploiting Meta-knowledge.- Computational intelligence for meta-learning: a promising avenue of research.- Self-organization of supervised models.- Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.- A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models.- Ontology-Based Meta-Mining of Knowledge Discovery Workflows.- Optimal Support Features for Meta-learning.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/64/226/858/3642268587_b.jpg", "price_data" : { "retail_price" : "249.99", "online_price" : "249.99", "our_price" : "249.99", "club_price" : "249.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Meta-Learning in Computational Intelligence|Norbert Jankowski

Meta-Learning in Computational Intelligence

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Overview

Universal meta-learning architecture and algorithms.- Meta-learning of instance selection for data summarization.- Choosing the metric: a simple model approach.- Meta-learning Architectures: Collecting, Organizing and Exploiting Meta-knowledge.- Computational intelligence for meta-learning: a promising avenue of research.- Self-organization of supervised models.- Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach.- A Meta-Model Perspective and Attribute Grammar Approach to Facilitating the Development of Novel Neural Network Models.- Ontology-Based Meta-Mining of Knowledge Discovery Workflows.- Optimal Support Features for Meta-learning.

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Details

  • ISBN-13: 9783642268588
  • ISBN-10: 3642268587
  • Publisher: Springer
  • Publish Date: August 2013
  • Dimensions: 9.17 x 6.19 x 0.8 inches
  • Shipping Weight: 1.18 pounds
  • Page Count: 359

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