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Graph Kernels(Paperback / softback)
State-of-the-Art and Future Challenges
Published:
23/12/2020
Graph Kernels provides a comprehensive and insightful survey of the various graph kernals available today. It gives the reader a detailed typology, and analysis of relevant graph kernels while expos...
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£78.00 |
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£54.60
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Advances and Open Problems in Federated Learning(Paperback / softback)
Published:
23/06/2021
Researchers working in the area of distributed systems will find this book an enlightening read that may inspire them to work on the many challenging issues that are outlined. This book will get the...
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Tensor Regression(Paperback / softback)
Published:
27/09/2021
Tensor Regression is the first thorough overview of the fundamentals, motivations, popular algorithms, strategies for efficient implementation, related applications, available datasets, and software...
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Minimum-Distortion Embedding(Paperback / softback)
Published:
08/09/2021
Minimum-Distortion Embedding describes the theory behind and practical use of a cutting-edge artificial intelligence technique. Accompanied by an open-source software package, PyMDE, it illustrates ...
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Spectral Methods for Data Science(Paperback / softback)
A Statistical Perspective
Published:
21/10/2021
This monograph presents a systematic, yet accessible introduction to spectral methods from a modern statistical perspective. It is essential reading for all students, researchers and practitioners w...
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Learning Deep Architectures for AI(Paperback)
now publishers Inc
Published:
28/10/2009
Learning Deep Architectures for AI discusses the motivations for and principles of learning algorithms for deep architectures.
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Distributed Optimization and Statistical Learning Via the Al...(Paperback)
now publishers Inc
Published:
23/05/2011
Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, i...
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