Chen et al., 2021 - Google Patents
Techniques for automated machine learningChen et al., 2021
View PDF- Document ID
- 8865040303415903374
- Author
- Chen Y
- Song Q
- Hu X
- Publication year
- Publication venue
- ACM SIGKDD Explorations Newsletter
External Links
Snippet
Automated machine learning (AutoML) aims to find optimal machine learning solutions automatically given a problem description, its task type, and datasets. It could release the burden of data scientists from the multifarious manual tuning process and enable the access …
- 238000000034 method 0 title abstract description 67
Classifications
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- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
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- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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- G—PHYSICS
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- G06Q10/00—Administration; Management
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