Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II: Lecture Notes in Computer Science, cartea 11907
Editat de Ulf Brefeld, Elisa Fromont, Andreas Hotho, Arno Knobbe, Marloes Maathuis, Céline Robardeten Limba Engleză Paperback – 2 mai 2020
The contributions were organized in topical sections named as follows:
Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization.
Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing.
Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (3) | 339.95 lei 6-8 săpt. | |
Springer International Publishing – mai 2020 | 339.95 lei 6-8 săpt. | |
Springer International Publishing – 2 mai 2020 | 632.94 lei 6-8 săpt. | |
Springer International Publishing – 2 mai 2020 | 635.61 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030461461
ISBN-10: 3030461467
Pagini: 732
Ilustrații: XXVI, 732 p. 314 illus., 191 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.04 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030461467
Pagini: 732
Ilustrații: XXVI, 732 p. 314 illus., 191 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.04 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Supervised Learning.- Multi-Label Learning.- Large-Scale Learning.- Deep Learning.- Probabilistic Models.- Natural Language Processing.
Textul de pe ultima copertă
Chapter "Incorporating Dependencies in Spectral Kernels for Gaussian Processes" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.