Автор: Ali H. Sayed Название: Inference and Learning from Data: Volume 1: Foundations ISBN: 1009218123 ISBN-13(EAN): 9781009218122 Издательство: Cambridge Academ Рейтинг: Цена: 13939.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to core topics in inference and learning. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning, and engineering.
Автор: Mohamed Medhat Gaber Название: Scientific Data Mining and Knowledge Discovery ISBN: 3642426247 ISBN-13(EAN): 9783642426247 Издательство: Springer Рейтинг: Цена: 15855.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides the reader with a complete view of the different tools used in the analysis of data for scientific discovery. The book offers both an overview of the state-of-the-art, and lists areas and open issues for future research and development.
Описание: Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification. The new neural network architectures on graph-structured data (graph neural networks, GNNs in short) have performed remarkably on these tasks, demonstrated by applications in social networks, bioinformatics, and medical informatics. Despite these successes, GNNs still face many challenges ranging from the foundational methodologies to the theoretical understandings of the power of the graph representation learning. This book provides a comprehensive introduction of GNNs. It first discusses the goals of graph representation learning and then reviews the history, current developments, and future directions of GNNs. The second part presents and reviews fundamental methods and theories concerning GNNs while the third part describes various frontiers that are built on the GNNs. The book concludes with an overview of recent developments in a number of applications using GNNs. This book is suitable for a wide audience including undergraduate and graduate students, postdoctoral researchers, professors and lecturers, as well as industrial and government practitioners who are new to this area or who already have some basic background but want to learn more about advanced and promising techniques and applications.
Автор: Mark Johnson; Sanjeev P. Khudanpur; Mari Ostendorf Название: Mathematical Foundations of Speech and Language Processing ISBN: 1461264847 ISBN-13(EAN): 9781461264842 Издательство: Springer Рейтинг: Цена: 21953.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Alexander S. Mikhailov Название: Foundations of Synergetics I ISBN: 3642785581 ISBN-13(EAN): 9783642785580 Издательство: Springer Рейтинг: Цена: 11398.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an introduction to the mathematical theory of cooperative behavior in active systems of various origins, both natural and artificial. The primary intention is to present general mathematical models that describe the principal kinds of coopera- tive behavior in distributed active systems.
Автор: Alexander S. Mikhailov; Alexander Yu. Loskutov Название: Foundations of Synergetics II ISBN: 3642972969 ISBN-13(EAN): 9783642972966 Издательство: Springer Рейтинг: Цена: 8548.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Instead of rigorous proofs, the reader will usually be offered only "demonstrations" (the term used by Prof. While preparing the lecture course and producing this book, we had intensive discussions with and asked the advice of Prof. Arnold, Prof. Grossmann, Prof. Haken, Prof. Klimontovich, Prof. Stratonovich and Prof.
Автор: Joaquin Garcia-Alfaro; Evangelos Kranakis; Guillau Название: Foundations and Practice of Security ISBN: 3319303023 ISBN-13(EAN): 9783319303024 Издательство: Springer Рейтинг: Цена: 6830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
RFID, sensors and secure computation.- Security policies and biometrics.- Evaluation of protocols and obfuscation security.- Spam emails, botnets and malware.
Автор: Alexander S. Mikhailov; Alexander Yu. Loskutov Название: Foundations of Synergetics II ISBN: 3642801986 ISBN-13(EAN): 9783642801983 Издательство: Springer Рейтинг: Цена: 10976.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second edition of this volume has been extensively revised. Lubke for her help in producing new figures for this volume. In this second of two volumes, we discuss the emergence and properties of complex chaotic patterns in distributed active systems.
Описание: MBIA.- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm.- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction.- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation.- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.- Mapping the spatio-temporal functional coherence in the resting brain.- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains.- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder.- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data.- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study.- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network.- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.- Structural Similarity based Anatomical and Functional Brain Imaging Fusion.- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.- MFCA.- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm.- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development.- Surface Foliation Based Brain Morphometry Analysis.- Mixture Probabilistic Principal Geodesic Analysis.- A Geodesic Mixed Effects Model in Kendall's Shape Space.- An as-invariant-as-possible GL+(3)-based Statistical Shape Model.
Название: Guide to Signals and Patterns in Image Processing ISBN: 3319141716 ISBN-13(EAN): 9783319141718 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. Features: covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain;
Автор: Cuppens Название: Foundations and Practice of Security ISBN: 3319519654 ISBN-13(EAN): 9783319519654 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Symposium on Foundations and Practice of Security, FPS 2016, held in Qu bec City, QC, Canada, in October 2016.
The 18 revised regular papers presented together with 5 short papers and 3 invited talks were carefully reviewed and selected from 34 submissions.
The accepted papers cover diverse research themes, ranging from classic topics, such as malware, anomaly detection, and privacy, to emerging issues, such as security and privacy in mobile computing and cloud.
Автор: Wu Lingfei, Cui Peng, Pei Jian Название: Graph Neural Networks: Foundations, Frontiers, and Applications ISBN: 9811660530 ISBN-13(EAN): 9789811660535 Издательство: Springer Рейтинг: Цена: 8537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This gap has driven a wave of research for deep learning on graphs, including graph representation learning, graph generation, and graph classification.
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