{
"item_title" : "Automated Design of Machine Learning and Search Algorithms",
"item_author" : [" Nelishia Pillay", "Rong Qu "],
"item_description" : "Chapter 1: Recent Developments of Automated Machine Learning and Search Techniques.- Chapter 2: Automated Machine Learning.- Chapter 3: A General Model for Automated Algorithm Design.- Chapter 4: Rigorous Performance Analysis of Hyper-Heuristics.- Chapter 5: AutoMoDe.- Chapter 6: A cross-domain method for generation of constructive and perturbative heuristics.- Chapter 7: Hyper-heuristics.- Chapter 8: Towards Real-time Federated Evolutionary Neural.- Chapter 9: Knowledge Transfer in Genetic Programming.- Chapter 10: Automated Design of Classification Algorithms.- Chapter 11: Automated Design (AutoDes).",
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Overview
Chapter 1: Recent Developments of Automated Machine Learning and Search Techniques.- Chapter 2: Automated Machine Learning.- Chapter 3: A General Model for Automated Algorithm Design.- Chapter 4: Rigorous Performance Analysis of Hyper-Heuristics.- Chapter 5: AutoMoDe.- Chapter 6: A cross-domain method for generation of constructive and perturbative heuristics.- Chapter 7: Hyper-heuristics.- Chapter 8: Towards Real-time Federated Evolutionary Neural.- Chapter 9: Knowledge Transfer in Genetic Programming.- Chapter 10: Automated Design of Classification Algorithms.- Chapter 11: Automated Design (AutoDes).
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Details
- ISBN-13: 9783030720711
- ISBN-10: 3030720713
- Publisher: Springer
- Publish Date: July 2022
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.66 pounds
- Page Count: 187
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