Machine Learning and Knowledge Discovery in Databases
Springer International Publishing (Verlag)
978-3-031-26418-4 (ISBN)
The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions.
The volumes are organized in topical sections as follows:
Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning;
Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems;
Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search;
Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; .
Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability;
Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.
Supervised learning.- Probabilistic inference.- Optimal transport.- Optimization.- Quantum, hardware.- Sustainability.
Erscheinungsdatum | 18.03.2023 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XLVI, 633 p. 163 illus., 140 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1012 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Applications • Artificial Intelligence • Bayesian networks • classification • Computer Networks • Computer Science • Computer systems • conference proceedings • Correlation Analysis • Data Mining • Education • Engineering • Image Processing • Informatics • Internet • learning • machine learning • Mathematics • Network Protocols • Neural networks • Optimization • Probability • Research • Signal Processing • theoretical computer science |
ISBN-10 | 3-031-26418-5 / 3031264185 |
ISBN-13 | 978-3-031-26418-4 / 9783031264184 |
Zustand | Neuware |
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