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Maxi Learn 2014 15
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Book Synopsis Learning and Intelligent Optimization by : Meinolf Sellmann
Download or read book Learning and Intelligent Optimization written by Meinolf Sellmann and published by Springer Nature. This book was released on 2023-11-25 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4–8, 2023. The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.
Book Synopsis Intelligent Approaches to Cyber Security by : Narendra M Shekokar
Download or read book Intelligent Approaches to Cyber Security written by Narendra M Shekokar and published by CRC Press. This book was released on 2023-10-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security. Features: Role of Deep Learning and Machine Learning in the Field of Cyber Security Using ML to defend against cyber-attacks Using DL to defend against cyber-attacks Using blockchain to defend against cyber-attacks This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.
Book Synopsis Teaching Learning for Effective Instruction by : Michelle M. Buehl
Download or read book Teaching Learning for Effective Instruction written by Michelle M. Buehl and published by IAP. This book was released on 2022-10-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the complexity of learning, an increasingly diverse student population, and growing demands on today’s teachers, educational psychology has never been more relevant for informing instructional practice. Notably, an understanding of learning, both what it is and how it occurs, is essential for teachers to design and implement effective instruction that is responsive to the needs of their learners. As part of the six-part series Theory to Practice: Educational Psychology for Teachers and Teaching, this volume highlights what and how teacher educators should teach about learning so that developing teachers will be more effective in their instructional practice. Preservice teachers represent a group of unique learners; in that they are learning about learning in order to support others’ learning. Similarly, teacher educators represent a unique group of educators in that they are guiding others in not just content knowledge but also in how to teach content across a variety of domains. As a means to highlight the ideas and constructs most essential for preservice teachers to learn, this volume was crafted for teacher educators, whether teaching educational psychology content incorporated into domain-specific courses or in a dedicated educational psychology course. Each chapter offers insight into what teachers need to know about learning as well as practical applications for how to teach the content. Chapters draw from a variety of theoretical perspectives about learning and identify common misconceptions that educational psychology instructors and teacher educators need to address in their work with preservice teachers. ENDORSEMENT: "The volume takes an expansive and inclusive view of teacher education and highlights how educational psychology can contribute to conversations about learning, motivation, teaching, inquiry, cooperation and collaboration, study strategies, intercultural competence, assessment, and student perceptions." — Nancy E. Perry & Anita Woolfolk Hoy
Book Synopsis Neural Information Processing by : Long Cheng
Download or read book Neural Information Processing written by Long Cheng and published by Springer. This book was released on 2018-12-03 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.
Book Synopsis Design and Implementation of Higher Education Learners' Learning Outcomes (HELLO) by : Barua, Kuntal
Download or read book Design and Implementation of Higher Education Learners' Learning Outcomes (HELLO) written by Barua, Kuntal and published by IGI Global. This book was released on 2023-12-22 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Higher Education Learners’ Learning Outcomes (HELLO) project offers a comprehensive solution to the challenge of creating comparative metrics of learning outcomes that are valid across various cultures, languages, and higher education institution types. Traditional methods of assessing learning outcomes in higher education have limited institutions' abilities to compare student performance to that of their peers, hindering efforts to improve teaching practices and enhance student learning. This project creates learning outcome measures that are culturally and linguistically appropriate for different types of higher education institutions, enabling institutions to compare student performance to that of their peers as part of efforts to improve teaching practices and enhance student learning. Design and Implementation of Higher Education Learners’ Learning Outcomes (HELLO), edited by Kuntal Barua, Neyara Radwan Mohammed, Virendra Singh, and Ronnie Figueiredo, provides a persuasive account of the HELLO project and is intended for all students, teachers, administrations, and higher education institutions interested in improving teaching practices and enhancing student learning outcomes. The book presents the challenges in traditional methods of assessing learning outcomes, the limitations of diverse attempts to fill the quality information gap, and the rationale for HELLO beyond collegial approaches and student-centered learning. The book also explores key challenges in developing and executing HELLO, such as the risks of ranking and value-added methodologies. By offering a comprehensive overview of the HELLO project, this book provides higher education institutions with the information and motivation they need to participate in the project and enhance their students' learning outcomes.
Book Synopsis e-Learning and the Science of Instruction by : Ruth C. Clark
Download or read book e-Learning and the Science of Instruction written by Ruth C. Clark and published by John Wiley & Sons. This book was released on 2023-12-12 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improve the quality of your eLearning materials with evidence-based guidelines e-Learning and the Science of Instruction, 5th Edition: Proven Guidelines for Consumers and Designers of Multimedia Learning helps practitioners apply evidence-based principles to the design, development, and selection of digital instructional and training materials. This book goes beyond instructional design advice, providing actionable ideas and multimedia examples based on recent research findings. You will learn how to put evidence into practice, with proven e-learning design and development guidelines. During the pandemic, e-learning assumed a much greater role as an instructional delivery medium, especially with virtual classrooms using tools such as Zoom and MS Teams. The combination of new technological functionality, increases in a remote workforce, and new research findings have led to gaps regarding how to leverage digital learning most effectively. This book explains what instructional designers, multimedia developers, and e-learning consumers need to know to maximize the potential of their e-learning resources. In addition to guidelines regarding use of graphics, audio, text, engagement techniques and collaborative online learning, this new edition covers video-based instruction, digital games, and immersive virtual reality-, showing you when and how to utilize these tools effectively. Discover the latest research findings about how people learn—and how they learn best online Build instructional materials, including video instruction, digital games, and immersive VR experiences, that empower learners to succeed Get ideas and inspiration for engaging learners in synchronous and asynchronous environments See concrete examples of how research evidence in instructional design can be applied in practice Apply evidence regarding how best to leverage collaborative online learning e-Learning and the Science of Instruction is a valuable resource for students and practitioners who need to design, develop, and select effective eLearning and virtual training materials.
Book Synopsis Web Information Systems Engineering – WISE 2015 by : Jianyong Wang
Download or read book Web Information Systems Engineering – WISE 2015 written by Jianyong Wang and published by Springer. This book was released on 2015-10-26 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set LNCS 9418 and LNCS 9419 constitutes the proceedings of the 16th International Conference on Web Information Systems Engineering, WISE 2015, held in Miami, FL, USA, in November 2015. The 53 full papers, 17 short and 14 special sessions and invited papers, presented in these proceedings were carefully reviewed and selected from 189 submissions. The papers cover the areas of big data techniques and applications, deep/hidden Web, integration of Web and internet, linked open data, semantic Web, social network computing, social Web and applications, social Web models, analysis and mining, Web-based applications, Web-based business processes and Web services, Web data integration and mashups, Web data models, Web information retrieval, Web privacy and security, Web-based recommendations, and Web search.
Book Synopsis Promoting Service Leadership Qualities in University Students by : Daniel T.L. Shek
Download or read book Promoting Service Leadership Qualities in University Students written by Daniel T.L. Shek and published by Springer. This book was released on 2015-08-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book outlines the development of service leadership curricula, programs and materials designed for university students in Hong Kong. In addition, it includes evaluation studies and specific service leadership programs, making it a pioneering book that integrates service leadership and student wellbeing for Chinese university students. In view of the transformation of industries resulting in shifts from manufacturing economies to service economies, the book takes a holistic approach to leadership development, focusing on three basic components of effective service leadership that are closely related to student wellbeing: leadership competencies such as emotional intelligence and resilience, moral character, and a caring disposition. This approach represents a move away from literature that emphasizes the elite leadership model, assuming that leadership is the privilege of a talented few. By extension, it argues that the promotion of service leadership qualities is a good strategy for promoting student wellness. The individual chapters are extended versions of papers presented at the “International Conference on Service Leadership Education for University Students: Experience in Hong Kong,” which was held in May 2014. The book offers a valuable contribution to Chinese and global academic literature on service leadership and will benefit researchers and educators alike.
Book Synopsis Understanding Machine Learning by : Shai Shalev-Shwartz
Download or read book Understanding Machine Learning written by Shai Shalev-Shwartz and published by Cambridge University Press. This book was released on 2014-05-19 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
Book Synopsis Smart Learning with Educational Robotics by : Linda Daniela
Download or read book Smart Learning with Educational Robotics written by Linda Daniela and published by Springer. This book was released on 2019-06-28 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will offer ideas on how robots can be used as teachers' assistants to scaffold learning outcomes, where the robot is a learning agent in self-directed learning who can contribute to the development of key competences for today's world through targeted learning - such as engineering thinking, math, physics, computational thinking, etc. starting from pre-school and continuing to a higher education level. Robotization is speeding up at the moment in a variety of dimensions, both through the automation of work, by performing intellectual duties, and by providing support for people in everyday situations. There is increasing political attention, especially in Europe, on educational systems not being able to keep up with such emerging technologies, and efforts to rectify this. This edited volume responds to this attention, and seeks to explore which pedagogical and educational concepts should be included in the learning process so that the use of robots is meaningful from the point of view of knowledge construction, and so that it is safe from the technological and cybersecurity perspective.
Book Synopsis Computational Social Networks by : My T. Thai
Download or read book Computational Social Networks written by My T. Thai and published by Springer. This book was released on 2015-07-30 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Computational Social Networks, CSoNet 2015, held in Beijing, China, in August 2015. The 23 revised full papers and 3 short papers presented together with 2 extended abstracts were carefully reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social link prediction and recommendation; and social network structure analysis.
Book Synopsis Machine Learning and the Internet of Things in Solar Power Generation by : Prabha Umapathy
Download or read book Machine Learning and the Internet of Things in Solar Power Generation written by Prabha Umapathy and published by CRC Press. This book was released on 2023-07-14 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book investigates various MPPT algorithms, and the optimization of solar energy using machine learning and deep learning. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental. This book: Discusses data acquisition by the internet of things for real-time monitoring of solar cells. Covers artificial neural network techniques, solar collector optimization, and artificial neural network applications in solar heaters, and solar stills. Details solar analytics, smart centralized control centers, integration of microgrids, and data mining on solar data. Highlights the concept of asset performance improvement, effective forecasting for energy production, and Low-power wide-area network applications. Elaborates solar cell design principles, the equivalent circuits of single and two diode models, measuring idealist factors, and importance of series and shunt resistances. The text elaborates solar cell design principles, the equivalent circuit of single diode model, the equivalent circuit of two diode model, measuring idealist factor, and importance of series and shunt resistances. It further discusses perturb and observe technique, modified P&O method, incremental conductance method, sliding control method, genetic algorithms, and neuro-fuzzy methodologies. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse engineering domains including electrical, electronics and communication, computer, and environmental.
Book Synopsis A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition by : HONGLAN HUANG
Download or read book A Reinforcement One-Shot Active Learning Approach for Aircraft Type Recognition written by HONGLAN HUANG and published by Infinite Study. This book was released on with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Target recognition is an important aspect of air trafc management, but the study on automatic aircraft identication is still in the exploratory stage. Rapid aircraft processing and accurate aircraft type recognition remain challenging tasks due to the high-speed movement of the aircraft against complex backgrounds. Active learning, as a promising research topic of machine learning in recent decades, can use less labeled data to obtain the same model accuracy as supervised learning, which greatly reduces the cost of labeling a dataset.
Book Synopsis Understanding Deep Learning by : Simon J.D. Prince
Download or read book Understanding Deep Learning written by Simon J.D. Prince and published by MIT Press. This book was released on 2023-12-05 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible Programming exercises offered in accompanying Python Notebooks
Book Synopsis Strategic Data-Based Wisdom in the Big Data Era by : Girard, John
Download or read book Strategic Data-Based Wisdom in the Big Data Era written by Girard, John and published by IGI Global. This book was released on 2015-02-28 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ability to uncover, share, and utilize knowledge is one of the most vital components to the success of any organization. While new technologies and techniques of knowledge dissemination are promising, there is still a struggle to derive and circulate meaningful information from large data sets. Strategic Data-Based Wisdom in the Big Data Era combines the latest empirical research findings, best practices, and applicable theoretical frameworks surrounding data analytics and knowledge acquisition. Providing a multi-disciplinary perspective of the subject area, this book is an essential reference source for professionals and researchers working in the field of knowledge management who would like to improve their understanding of the strategic role of data-based wisdom in different types of work communities and environments.
Book Synopsis Artificial Intelligence by : Lu Fang
Download or read book Artificial Intelligence written by Lu Fang and published by Springer Nature. This book was released on 2023-01-01 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 13604-13606 constitutes revised selected papers presented at the Second CAAI International Conference on Artificial Intelligence, held in Beijing, China, in August 2022. CICAI is a summit forum in the field of artificial intelligence and the 2022 forum was hosted by Chinese Association for Artificial Intelligence (CAAI). The 164 papers were thoroughly reviewed and selected from 521 submissions. CICAI aims to establish a global platform for international academic exchange, promote advanced research in AI and its affiliated disciplines such as machine learning, computer vision, natural language, processing, and data mining, amongst others.
Book Synopsis Neural Information Processing by : Derong Liu
Download or read book Neural Information Processing written by Derong Liu and published by Springer. This book was released on 2017-11-07 with total page 941 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.