Tag: Learning

Machine Learning ECML 2007 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings


Free Download Machine Learning: ECML 2007: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. Proceedings By Tom M. Mitchell (auth.), Joost N. Kok, Jacek Koronacki, Raomon Lopez de Mantaras, Stan Matwin, Dunja Mladenič, Andrzej Skowron (eds.)
2007 | 812 Pages | ISBN: 3540749578 | PDF | 18 MB
The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the ?rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was?rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17-21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub-?eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year’s International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir?nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase.

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Game Theory and Machine Learning for Cyber Security


Free Download Game Theory and Machine Learning for Cyber Security edited by Charles A. Kamhoua, Christopher D. Kiekintveld, Fei Fang, Quanyan Zhu
English | September 15, 2021 | ISBN: 1119723922 | True EPUB | 544 pages | 35 MB
Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field

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E-Learning Networked Environments and Architectures A Knowledge Processing Perspective


Free Download E-Learning Networked Environments and Architectures: A Knowledge Processing Perspective By Samuel Pierre, Gilbert Paquette (auth.), Samuel Pierre PhD (eds.)
2007 | 434 Pages | ISBN: 1846283515 | PDF | 8 MB
Over the last decade researchers and practitioners have developed a wide range of knowledge related to e-learning. This book provides state-of-the-art e-learning networked environments and architectures carried out over the last few years from a knowledge management perspective.The book is organized into four parts: After an introductory chapter which attempts to characterize the e-learning environments, Part I exposes the problems of building knowledge scenarios followed by Part II which analyzes the process of building knowledge environments. Part III summarizes the principles, methods and issues related to the design of knowledge networks and finally Part IV addresses the problem of retrieving resources and knowledge from networked environments.Presenting a wide-ranging survey of methods and applications from contributors from around the world, this book will be a valuable resource for researchers, practitioners and graduates.

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Active Conceptual Modeling of Learning Next Generation Learning-Base System Development


Free Download Active Conceptual Modeling of Learning: Next Generation Learning-Base System Development By Peter P. Chen, Leah Y. Wong (auth.), Peter P. Chen, Leah Y. Wong (eds.)
2007 | 227 Pages | ISBN: 3540775021 | PDF | 4 MB
This volume contains a collection of the papers presented during the First International ACM-L Workshop, which was held in Tucson, Arizona, during the 25th International Conference on Conceptual Modeling, ER 2006.Included in this state-of-the-art survey are 11 revised full papers, carefully reviewed and selected from the workshop presentations. These are topped off with 4 invited lectures and an introductory and motivational overview.Taken as a whole, these papers cover virtually all of the current thinking in conceptual modeling research.The workshop in question focused on enhancing the fundamental understanding of how to model continual learning from past experiences and how to capture knowledge from transitions between system states.Active conceptual modeling is a continual process of describing all aspects of a domain, its activities, and changes from different perspectives based on our knowledge and understanding.

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Ubiquitous and Mobile Learning in the Digital Age


Free Download Ubiquitous and Mobile Learning in the Digital Age By Demetrios G. Sampson, Panagiotis Zervas (auth.), Demetrios G. Sampson, Pedro Isaias, Dirk Ifenthaler, J. Michael Spector (eds.)
2013 | 294 Pages | ISBN: 1461433282 | PDF | 5 MB
​This edited volume with selected expanded papers from CELDA (Cognition and Exploratory Learning in the Digital Age) 2011 (http://www.celda-‐conf.org/) will focus on Ubiquitous and Mobile Informal and Formal Learning in the Digital Age, with sub-topics: Mobile and Ubiquitous Informal and Formal Learning Environments (Part I), Social Web Technologies for new knowledge representation, retrieval, creation and sharing in Informal and Formal Educational Settings (Part II), Virtual Worlds and Game-‐based Informal and Formal Learning (Part III), Location-‐based and Context-‐ Aware Environments for Formal and Informal Learning Integration (Part IV) There will be approximately twenty chapters selected for this edited volume from among peer-‐reviewed papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) 2011 Conference in Rio de Janeiro, Brazil in November, 2011.

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Open and Social Technologies for Networked Learning IFIP WG 3.4 International Conference, OST 2012, Tallinn, Estonia, July 30


Free Download Open and Social Technologies for Networked Learning: IFIP WG 3.4 International Conference, OST 2012, Tallinn, Estonia, July 30 – August 3, 2012, Revised Selected Papers By Mikko Ruohonen, Markku Turunen, Gururaj Mahajan, Juhani Linna, Vivek Kumar, Himadri Das (auth.), Tobias Ley, Mikko Ruohonen, Mart Laanpere, Arthur Tatnall (eds.)
2013 | 211 Pages | ISBN: 3642372848 | PDF | 8 MB
This volume constitutes the refereed post-proceedings of the IFIP WG 3.4 International Conference on Open and Social Technologies for Networked Learning, OST 2012, held in Tallinn, Estonia, in July/August 2012. The 16 full papers presented together with 3 short papers and 5 doctoral student papers were thoroughly reviewed and selected from numerous submissions. The papers cover a wide range of topics such as mobile learning, social networks, analytics and recommendations, workplace learning, learning analytics in higher education, collaborative learning in higher education, and managing open and social education.

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Machine Learning in Cognitive IoT


Free Download Machine Learning in Cognitive IoT by Neeraj Kumar, Aaisha Makkar
English | August 20, 2020 | ISBN: N/A | ASIN: B08GH27HPT | 318 pages | EPUB | 29 Mb
This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications.Explains integration of Machine Learning in IoT for building an efficient decision support systemCovers IoT, CIoT, machine learning paradigms and modelsIncludes implementation of machine learning models in RHelp the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, RoboticsIncludes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

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Learning Languages, Being Social Informal Language Learning and Socialization in Additional Languages


Free Download Learning Languages, Being Social: Informal Language Learning and Socialization in Additional Languages by Susanne Mohr, Lindsay Ferrara
English | August 6, 2024 | ISBN: 3110794586 | 274 pages | MOBI | 2.39 Mb
This book addresses increasingly diverse language learning trajectories in a modern, globalized world, specifically outside of formal classroom situations and with respect to second and additional language practices. This includes, but is not restricted to, intersections of formal and informal learning, computer-mediated contexts as well as family contexts and language learning in multilingual contexts. The book provides a current and specifically anthropological view on the second and additional language acquisition in non-school settings through various studies. It is unique in its focus and scope and is relevant to anthropologists and linguists, who are interested in the intersection of language and culture.

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Learning Azure DevOps Outperform DevOps using Azure Pipelines, Artifacts, Boards, Azure CLI, Test Plans and Repos


Free Download Learning Azure DevOps: Outperform DevOps using Azure Pipelines, Artifacts, Boards, Azure CLI, Test Plans and Repos by Myra Kelnor
English | August 4, 2024 | ISBN: 8119177312 | 200 pages | MOBI | 0.24 Mb
To help cloud professionals make the most of the Azure DevOps platform, "Learning Azure DevOps" is a practical book that walks them through the process step-by-step. This book goes over all the bases of DevOps, including how to automate crucial tasks, deploy infrastructure as code (IaC), and set up and manage CI/CD pipelines.

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