Computational Logic in Multi-Agent Systems: 14th International Workshop, CLIMA XIV, Corunna, Spain, September 16-18, 2013. Proceedings By Elena Cabrio, Sara Tonelli, Serena Villata (auth.), João Leite, Tran Cao Son, Paolo Torroni, Leon van der Torre, Stefan Woltran (eds.)
2013 | 391 Pages | ISBN: 3642406238 | PDF | 7 MB
This book constitutes the proceedings of the 14th International Workshop on Computational Logic in Multi-Agent Systems, CLIMA XIV, held in Corunna, Spain, in September 2013. The 23 regular papers were carefully reviewed and selected from 44 submissions and presented with four invited talks. The purpose of the CLIMA workshops is to provide a forum for discussing techniques, based on computational logic, for representing, programming and reasoning about agents and multi-agent systems in a formal way. This edition will feature two special sessions: Argumentation Technologies and Norms and Normative Multi-Agent Systems.

The Dropout Multi-Millionaire: business lessons to put yourself on the path to business success. by Borys Mcneil
English | 2022 | ISBN: N/A | ASIN: B0B5GCV3W1 | 130 pages | EPUB | 12 Mb
37 Business Instructions you need to learn to put yourself on the path to organization success.

Knowledge Discovery from Multi-Sourced Data
English | 2022 | ISBN: 9811918783 | 162 Pages | PDF EPUB (True) | 9 MB
This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth discovery and fact discovery on multi-sourced data from four important properties: relevance, inconsistency, sparseness, and heterogeneity, which is useful for specialists as well as graduate students. Data, even describing the same object or event, can come from a variety of sources such as crowd workers and social media users. However, noisy pieces of data or information are unavoidable. Facing the daunting scale of data, it is unrealistic to expect humans to "label" or tell which data source is more reliable. Hence, it is crucial to identify trustworthy information from multiple noisy information sources, referring to the task of knowledge discovery. At present, the knowledge discovery research for multi-sourced data mainly faces two challenges. On the structural level, it is essential to consider the different characteristics of data composition and application scenarios and define the knowledge discovery problem on different occasions. On the algorithm level, the knowledge discovery task needs to consider different levels of information conflicts and design efficient algorithms to mine more valuable information using multiple clues. Existing knowledge discovery methods have defects on both the structural level and the algorithm level, making the knowledge discovery problem far from totally solved.

English | 2022 | ISBN: 3110760304 | 154 pages | True PDF EPUB | 22.26 MB
This book provides the fundamental underlying mathematical theory, numerical algorithms and effi cient computational tools for the solution of multi-level mixedinteger optimization problems. It can enable a vast array of decision makers and engineers (e.g. process engineers, bioengineers, chemical and civil engineers, and economists) to model, formulate and solve hierarchical decision making problems. The book gives detailed insights on multi-level optimization by comprehensive explanations, step-by-step numerical examples and case studies, plots, and diagrams.

Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.24 GB | Duration: 4h 33m

Multi-source, Multilingual Information Extraction and Summarization by Thierry Poibeau
English | PDF | 2013 | 330 Pages | ISBN : 3642285686 | 4.3 MB
Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society.

Multi-Hazard Early Warning and Disaster Risks by Dilanthi Amaratunga
English | EPUB | 2021 | 914 Pages | ISBN : 3030730026 | 137.7 MB
This book presents a collection of papers under the theme of multi-hazard early warning and disaster risks. These were selected from the presentations made at the International Symposium on Tsunami and Multi-Hazard Risks, Early Warning and Community Awareness in supporting implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030. This conference aimed to recognize achievements and to highlight work that still needs to be carried out. The conference promoted collaboration among academia, research institutions and disaster management offices, and further encouraged multidisciplinary and multi-sectoral interaction.

Secure Multi-Party E-Commerce Protocols
English | 2022 | ISBN: 3030993507 | 117 Pages | PDF (True) | 6 MB

GPU Solutions to Multi-scale Problems in Science and Engineering by David A. Yuen
English | PDF | 2013 | 677 Pages | ISBN : 3642164048 | 32.7 MB

Engineering Multi-Agent Systems : 9th International Workshop, EMAS 2021, Virtual Event, May 3-4, 2021, Revised Selected Papers
by Natasha Alechina, Matteo Baldoni
English | 2022 | ISBN: 3030974561 | 392 Pages | True PDF | 13.4 MB