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Author :
Publisher :
ISBN 13 : 9781283003209
Total Pages : pages
Book Rating : 4.0/5 (32 download)
Download or read book Proceedings of COMPSTAT'2010 written by and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yves Lechevallier
Publisher : Physica
ISBN 13 : 9783790826036
Total Pages : 0 pages
Book Rating : 4.8/5 (26 download)
Download or read book Proceedings of COMPSTAT'2010 written by Yves Lechevallier and published by Physica. This book was released on 2010-11-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Physica
ISBN 13 : 9783790826036
Total Pages : 621 pages
Book Rating : 4.8/5 (26 download)
Download or read book Proceedings of COMPSTAT'2010 written by Yves Lechevallier and published by Physica. This book was released on 2010-11-10 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Springer Science & Business Media
ISBN 13 : 3790826049
Total Pages : 627 pages
Book Rating : 4.7/5 (98 download)
Download or read book Proceedings of COMPSTAT'2010 written by Yves Lechevallier and published by Springer Science & Business Media. This book was released on 2010-11-08 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Author : Yves Lechevallier
Publisher : Springer
ISBN 13 : 9783790826050
Total Pages : 652 pages
Book Rating : 4.8/5 (26 download)
Download or read book Proceedings of Compstat'2010 written by Yves Lechevallier and published by Springer. This book was released on 2011-03-30 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hiroshi Ishikawa
Publisher : Springer Nature
ISBN 13 : 3031435400
Total Pages : 380 pages
Book Rating : 4.0/5 (314 download)
Download or read book Hypothesis Generation and Interpretation written by Hiroshi Ishikawa and published by Springer Nature. This book was released on 2024-01-01 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques. The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases. The novel methods and technologies proposed in Hypothesis Generation and Interpretation are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind their design principles and patterns. Academic investigators and practitioners working on the further development and application of hypothesis generation and interpretation in big data computing, with backgrounds in data science and engineering, or the study of problem solving and scientific methods or who employ those ideas in fields like machine learning will find this book of considerable interest.
Author : Xi Shao
Publisher : Springer Nature
ISBN 13 : 9811616493
Total Pages : 216 pages
Book Rating : 4.8/5 (116 download)
Download or read book Proceedings of the 8th Conference on Sound and Music Technology written by Xi Shao and published by Springer Nature. This book was released on 2021-04-24 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected papers at the 8th Conference on Sound and Music Technology (CSMT) held in November 2020, at Taiyuan, Shanxi, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the conference is to promote the collaboration between art society and technical society in China. In this proceeding, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning and signal processing for advanced medical diagnosis and treatment applications; which demonstrates the target of CSMT merging arts and science research together.its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).
Author : Sandeep Kumar
Publisher : Springer Nature
ISBN 13 : 9811939519
Total Pages : 987 pages
Book Rating : 4.8/5 (119 download)
Download or read book Proceedings of International Conference on Communication and Computational Technologies written by Sandeep Kumar and published by Springer Nature. This book was released on 2022-09-26 with total page 987 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at 4th International Conference on Communication and Computational Technologies (ICCCT 2022), jointly organized by Soft Computing Research Society (SCRS) and Rajasthan Institute of Engineering & Technology (RIET), Jaipur, during February 26–27 2022. The book is a collection of state-of-the art research work in the cutting-edge technologies related to the communication and intelligent systems. The topics covered are algorithms and applications of intelligent systems, informatics and applications, and communication and control systems.
Author : Salvatore Ingrassia
Publisher : Springer Science & Business Media
ISBN 13 : 364211363X
Total Pages : 576 pages
Book Rating : 4.6/5 (421 download)
Download or read book New Perspectives in Statistical Modeling and Data Analysis written by Salvatore Ingrassia and published by Springer Science & Business Media. This book was released on 2011-06-29 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides recent research results in data analysis, classification and multivariate statistics and highlights perspectives for new scientific developments within these areas. Particular attention is devoted to methodological issues in clustering, statistical modeling and data mining. The volume also contains significant contributions to a wide range of applications such as finance, marketing, and social sciences. The papers in this volume were first presented at the 7th Conference of the Classification and Data Analysis Group (ClaDAG) of the Italian Statistical Society, held at the University of Catania, Italy.
Author : Jorg Blasius
Publisher : CRC Press
ISBN 13 : 1466589817
Total Pages : 382 pages
Book Rating : 4.4/5 (665 download)
Download or read book Visualization and Verbalization of Data written by Jorg Blasius and published by CRC Press. This book was released on 2014-04-10 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications.The first part of the book explains
Author : Mahmoud Hassaballah
Publisher : CRC Press
ISBN 13 : 135100381X
Total Pages : 322 pages
Book Rating : 4.3/5 (51 download)
Download or read book Deep Learning in Computer Vision written by Mahmoud Hassaballah and published by CRC Press. This book was released on 2020-03-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
Author : Qi Xuan
Publisher : Springer Nature
ISBN 13 : 981162609X
Total Pages : 256 pages
Book Rating : 4.8/5 (116 download)
Download or read book Graph Data Mining written by Qi Xuan and published by Springer Nature. This book was released on 2021-07-15 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph data is powerful, thanks to its ability to model arbitrary relationship between objects and is encountered in a range of real-world applications in fields such as bioinformatics, traffic network, scientific collaboration, world wide web and social networks. Graph data mining is used to discover useful information and knowledge from graph data. The complications of nodes, links and the semi-structure form present challenges in terms of the computation tasks, e.g., node classification, link prediction, and graph classification. In this context, various advanced techniques, including graph embedding and graph neural networks, have recently been proposed to improve the performance of graph data mining. This book provides a state-of-the-art review of graph data mining methods. It addresses a current hot topic – the security of graph data mining – and proposes a series of detection methods to identify adversarial samples in graph data. In addition, it introduces readers to graph augmentation and subgraph networks to further enhance the models, i.e., improve their accuracy and robustness. Lastly, the book describes the applications of these advanced techniques in various scenarios, such as traffic networks, social and technical networks, and blockchains.
Author : Abhishek Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119778743
Total Pages : 384 pages
Book Rating : 4.1/5 (197 download)
Download or read book Swarm Intelligence Optimization written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2021-01-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Author : Long Jin
Publisher : Frontiers Media SA
ISBN 13 : 2832552013
Total Pages : 301 pages
Book Rating : 4.8/5 (325 download)
Download or read book Dynamic Neural Networks for Robot Systems: Data-Driven and Model-Based Applications written by Long Jin and published by Frontiers Media SA. This book was released on 2024-07-24 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.
Author : Giuseppe Nicosia
Publisher : Springer Nature
ISBN 13 : 3030645835
Total Pages : 740 pages
Book Rating : 4.0/5 (36 download)
Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2021-01-07 with total page 740 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 12565 and 12566, constitutes the refereed proceedings of the 6th International Conference on Machine Learning, Optimization, and Data Science, LOD 2020, held in Siena, Italy, in July 2020. The total of 116 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 209 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.
Author : Julian McAuley
Publisher : Cambridge University Press
ISBN 13 : 1009008579
Total Pages : 338 pages
Book Rating : 4.0/5 (9 download)
Download or read book Personalized Machine Learning written by Julian McAuley and published by Cambridge University Press. This book was released on 2022-02-03 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.
Author : Jiawei Jiang
Publisher : Springer Nature
ISBN 13 : 9811634203
Total Pages : 179 pages
Book Rating : 4.8/5 (116 download)
Download or read book Distributed Machine Learning and Gradient Optimization written by Jiawei Jiang and published by Springer Nature. This book was released on 2022-02-23 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol. Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience in the field of machine learning, artificial intelligence, big data and database management.
