Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II: Lecture Notes in Computer Science, cartea 12458
Editat de Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valeraen Limba Engleză Paperback – 25 feb 2021
The volumes are organized in topical sections as follows:
Part I: Pattern Mining; clustering; privacy and fairness; (social) network analysis and computational social science; dimensionality reduction and autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent neural networks; collaborative filtering and matrix completion.
Part II: deep learning optimization and theory;active learning; adversarial learning; federated learning; Kernel methods and online learning; partial label learning; reinforcement learning; transfer and multi-task learning; Bayesian optimization and few-shot learning.
Part III: Combinatorial optimization; large-scale optimization and differential privacy; boosting and ensemble methods; Bayesian methods; architecture of neural networks; graph neural networks; Gaussian processes; computer vision and image processing; natural language processing; bioinformatics.
Part IV: applied data science: recommendation; applied data science: anomaly detection; applied data science: Web mining; applied data science: transportation; applied data science: activity recognition; applied data science: hardware and manufacturing; applied data science: spatiotemporal data.
Part V: applied data science: social good; applied data science: healthcare; applied data science: e-commerce and finance; applied data science: computational social science; applied data science: sports; demo track.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (3) | 664.80 lei 6-8 săpt. | |
Springer International Publishing – 25 feb 2021 | 664.80 lei 6-8 săpt. | |
Springer International Publishing – 25 feb 2021 | 665.30 lei 6-8 săpt. | |
Springer International Publishing – 25 feb 2021 | 666.09 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030676605
ISBN-10: 3030676609
Pagini: 742
Ilustrații: XLIII, 742 p. 248 illus., 231 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.08 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030676609
Pagini: 742
Ilustrații: XLIII, 742 p. 248 illus., 231 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.08 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Cham, Switzerland
Cuprins
Deep learning optimization and theory.- active learning.- adversarial learning; federated learning.- Kernel methods and online learning.- partial label learning.- reinforcement learning.- transfer and multi-task learning.- Bayesian optimization and few-shot learning.