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Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 731

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2013-08-28
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  • Publisher: Springer

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 883

Machine Learning and Knowledge Discovery in Databases

  • Type: Book
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  • Published: 2019-01-22
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  • Publisher: Springer

The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 748

Machine Learning and Knowledge Discovery in Databases

The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy...

High-Performance Embedded Computing
  • Language: en
  • Pages: 507

High-Performance Embedded Computing

  • Type: Book
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  • Published: 2014-03-17
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  • Publisher: Newnes

High-Performance Embedded Computing, Second Edition, combines leading-edge research with practical guidance in a variety of embedded computing topics, including real-time systems, computer architecture, and low-power design. Author Marilyn Wolf presents a comprehensive survey of the state of the art, and guides you to achieve high levels of performance from the embedded systems that bring these technologies together. The book covers CPU design, operating systems, multiprocessor programs and architectures, and much more. Embedded computing is a key component of cyber-physical systems, which combine physical devices with computational resources for control and communication. This revised editi...

Machine Learning and Knowledge Discovery in Databases
  • Language: en
  • Pages: 755

Machine Learning and Knowledge Discovery in Databases

This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on ...

Multimedia Networking: Technology, Management and Applications
  • Language: en
  • Pages: 498

Multimedia Networking: Technology, Management and Applications

  • Type: Book
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  • Published: 2001-07-01
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  • Publisher: IGI Global

In recent years rapid Internet growth has pushed the development of new multimedia applications in all aspects of life such as entertainment, communication, collaborative work and electronic commerce. Future applications will make use of different technologies like voice, data and video, but in order to make such a wide variety of multimedia applications successful, a number of technology and management issues must be addressed. Multimedia Networking: Technology, Management and Applications addresses the dynamic and efficient uses of resources ? a fundamental aspect of multimedia networks. Geared toward professionals, educators and students alike, this exciting new book will detail current research and the future direction of multimedia networking.

Intelligent Computing
  • Language: en
  • Pages: 1492

Intelligent Computing

This book is a collection of extremely well-articulated, insightful and unique state-ofthe-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

High-Performance Embedded Computing
  • Language: en
  • Pages: 542

High-Performance Embedded Computing

  • Type: Book
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  • Published: 2010-07-26
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  • Publisher: Elsevier

Over the past several years, embedded systems have emerged as an integral though unseen part of many consumer, industrial, and military devices. The explosive growth of these systems has resulted in embedded computing becoming an increasingly important discipline. The need for designers of high-performance, application-specific computing systems has never been greater, and many universities and colleges in the US and worldwide are now developing advanced courses to help prepare their students for careers in embedded computing.High-Performance Embedded Computing: Architectures, Applications, and Methodologies is the first book designed to address the needs of advanced students and industry pr...

Medical and Care Compunetics 3
  • Language: en
  • Pages: 400

Medical and Care Compunetics 3

  • Type: Book
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  • Published: 2006-05-31
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  • Publisher: IOS Press

This publication covers aspects concerning information supply to patient and professional; electronic health records, its standards, its social implications; and new developments in medical and care compunetics. For citizen / patient-related information, it is necessary to use the latest medical and care compunetics. The editors recognize the possible threat to patient safety of the information available on the internet. They also see the problems of professionals to find information on the latest developments in medical and care compunetics in a structured way. This book is dedicated to the co-founder of the ICMCC Foundation, Professor Swamy Laxminarayan, who passed away on September 29, 2005.

Pattern-Oriented Software Architecture, Patterns for Concurrent and Networked Objects
  • Language: en
  • Pages: 900

Pattern-Oriented Software Architecture, Patterns for Concurrent and Networked Objects

Designing application and middleware software to run in concurrent and networked environments is a significant challenge to software developers. The patterns catalogued in this second volume of Pattern-Oriented Software Architectures (POSA) form the basis of a pattern language that addresses issues associated with concurrency and networking. The book presents 17 interrelated patterns ranging from idioms through architectural designs. They cover core elements of building concurrent and network systems: service access and configuration, event handling, synchronization, and concurrency. All patterns present extensive examples and known uses in multiple programming languages, including C++, C, and Java. The book can be used to tackle specific software development problems or read from cover to cover to provide a fundamental understanding of the best practices for constructing concurrent and networked applications and middleware. About the Authors This book has been written by the award winning team responsible for the first POSA volume "A System of Patterns", joined in this volume by Douglas C. Schmidt from University of California, Irvine (UCI), USA. Visit our Web Page