Multi-aspect Learning

Multi-aspect Learning
Author: Richi Nayak
Publisher: Springer Nature
Total Pages: 191
Release: 2023-08-28
Genre: Computers
ISBN: 3031335600

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-art representation learning techniques for clustering and their applications in various domains. This is the first book to systematically review multi-aspect data learning, incorporating a range of concepts and applications. Additionally, it is the first to comprehensively investigate manifold learning for dimensionality reduction in multi-view data learning. The book presents the latest advances in matrix factorization, subspace clustering, spectral clustering and deep learning methods, with a particular emphasis on the challenges and characteristics of multi-aspect data. Each chapter includes a thorough discussion of state-of-the-art of multi-aspect data learning methods and important research gaps. The book provides readers with the necessary foundational knowledge to apply these methods to new domains and applications, as well as inspire new research in this emerging field.

Autonomous Intelligent Systems: Multi-Agents and Data Mining

Autonomous Intelligent Systems: Multi-Agents and Data Mining
Author: Vladimir Gorodetsky
Publisher: Springer
Total Pages: 334
Release: 2007-07-23
Genre: Computers
ISBN: 3540728392

This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Data Driven Approaches in Digital Education

Data Driven Approaches in Digital Education
Author: Élise Lavoué
Publisher: Springer
Total Pages: 635
Release: 2017-09-04
Genre: Education
ISBN: 331966610X

This book constitutes the proceedings of the 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, held in Tallinn, Estonia, in September 2017. The 24 full papers, 23 short papers, 6 demo papers, and 22 poster papers presented in this volume were carefully reviewed and selected from 141 submissions. The theme for the 12th EC-TEL conference on Data Driven Approaches in Digital Education' aims to explore the multidisciplinary approaches thateectively illustrate how data-driven education combined with digital education systems can look like and what are the empirical evidences for the use of datadriven tools in educational practices.

Natural Language Processing and Chinese Computing

Natural Language Processing and Chinese Computing
Author: Xiaodan Zhu
Publisher: Springer Nature
Total Pages: 612
Release: 2020-10-06
Genre: Computers
ISBN: 3030604578

This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.

Active Mining

Active Mining
Author: Shusaku Tsumoto
Publisher: Springer
Total Pages: 358
Release: 2005-05-24
Genre: Computers
ISBN: 3540319336

This volume contains the papers selected for presentation at the 2nd International Workshop on Active Mining (AM 2003) which was organized in conjunction with the 14th International Symposium on Methodologies for Intelligent Systems (ISMIS 2003), held in Maebashi City, Japan, 28–31 October, 2003.

Learning from Data Streams

Learning from Data Streams
Author: João Gama
Publisher: Springer Science & Business Media
Total Pages: 486
Release: 2007-10-11
Genre: Computers
ISBN: 3540736786

Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data processing, including famous prototype implementations like the Nile system and the TinyOS operating system. Applications in security, the natural sciences, and education are presented. The huge bibliography offers an excellent starting point for further reading and future research.

Relevance Ranking for Vertical Search Engines

Relevance Ranking for Vertical Search Engines
Author: Bo Long
Publisher: Newnes
Total Pages: 265
Release: 2014-01-25
Genre: Computers
ISBN: 012407202X

In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals. - Foreword by Ron Brachman, Chief Scientist and Head, Yahoo! Labs - Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best results - Covers concepts and theories from the fundamental to the advanced - Discusses the state of the art: development of theories and practices in vertical search ranking applications - Includes detailed examples, case studies and real-world situations

Neural Information Processing

Neural Information Processing
Author: Mohammad Tanveer
Publisher: Springer Nature
Total Pages: 748
Release: 2023-04-13
Genre: Computers
ISBN: 9819916453

The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.