Machine Learning for Networking by Selma Boumerdassi
This book constitutes the refereed proceedings of the 8th International Conference on Machine Learning for Networking, MLN 2025, held in Paris, France, during December 2–4, 2025.
The 14 full papers presented in this book were carefully reviewed and selected from 30 submissions. The International Conference on Machine Learning for Networking (MLN) aims at providing a top forum for researchers and practitioners to present and discuss new trends in machine learning, deep learning, pattern recognition and optimization for network architectures and services.
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To the Ends of the Earth
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Computational Logic in Multi-Agent Systems
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Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems
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Computational and Corpus-Based Phraseology
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Replication
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Autonomous Intelligent Systems: Multi-Agents and Data Mining
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Genetic Programming
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Transactional Agents
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Computer Safety, Reliability, and Security
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Performance Evaluation of Complex Systems: Techniques and Tools
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Evolutionary Computation in Combinatorial Optimization
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Computer Vision – ECCV 2026
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2026
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Computer Security – ESORICS 2026
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Machine Learning and Knowledge Discovery in Databases. Research Track
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Artificial Neural Networks and Machine Learning – ICANN 2026
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Application and Theory of Petri Nets and Concurrency
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Artificial Neural Networks in Pattern Recognition
| SKU | Unavailable |
| ISBN 13 | 9783032184931 |
| ISBN 10 | 3032184932 |
| Title | Machine Learning for Networking |
| Author | Selma Boumerdassi |
| Series | Lecture Notes In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2026-05-23 |
| Number of pages | 218 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |