{
"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
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.
This item is Non-Returnable
Customers Also Bought
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
Related Categories
