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Metalearning : applications to automated machine learning and data mining
This open access book offers a comprehensive and thorough introduction to almost all aspects of metalearning and automated machine learning (AutoML), covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield …
- Edition
- Second Edition
- ISBN/ISSN
- 9783030670245
- Collation
- xii, 346p. : ill,
- Series Title
- -
- Call Number
- 006.31 MET m
Projection-based clustering through self-organization and swarm intelligence …
It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm(DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structur…
- Edition
- -
- ISBN/ISSN
- 9783658205409
- Collation
- xx, 201p. : ill.
- Series Title
- -
- Call Number
- 006.3824 THR p
Bisociative knowledge discovery : an introduction to concept, algorithms, too…
Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied originates from one domain. The focus of this book, and the BISON project from which the contributions originate, is a network-based integration of various types of da…
- Edition
- -
- ISBN/ISSN
- 9783642318306
- Collation
- ix, 483p. : ill.
- Series Title
- -
- Call Number
- 006.312 BIS b
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