Solving Large Scale Learning Tasks Challenges And Algorithms
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Solving Large Scale Learning Tasks Challenges And Algorithms
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Author : Stefan Michaelis
language : en
Publisher: Springer
Release Date : 2016-07-02
Solving Large Scale Learning Tasks Challenges And Algorithms written by Stefan Michaelis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-02 with Computers categories.
In celebration of Prof. Morik's 60th birthday, this Festschrift covers research areas that Prof. Morik worked in and presents various researchers with whom she collaborated. The 23 refereed articles in this Festschrift volume provide challenges and solutions from theoreticians and practitioners on data preprocessing, modeling, learning, and evaluation. Topics include data-mining and machine-learning algorithms, feature selection and feature generation, optimization as well as efficiency of energy and communication.
Nature Inspired Computation And Swarm Intelligence
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Author : Xin-She Yang
language : en
Publisher: Academic Press
Release Date : 2020-04-10
Nature Inspired Computation And Swarm Intelligence written by Xin-She Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Technology & Engineering categories.
Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence.
International Conference On Computer Networks And Communication Technologies
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Author : S. Smys
language : en
Publisher: Springer
Release Date : 2018-09-17
International Conference On Computer Networks And Communication Technologies written by S. Smys and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-17 with Technology & Engineering categories.
The book features research papers presented at the International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2018), offering significant contributions from researchers and practitioners in academia and industry. The topics covered include computer networks, network protocols and wireless networks, data communication technologies, and network security. Covering the main core and specialized issues in the areas of next-generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practices, these proceedings are a valuable resource, for researchers, instructors, students, scientists, engineers, managers, and industry practitioners.
Ict For Intelligent Systems
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Author : Jyoti Choudrie
language : en
Publisher: Springer Nature
Release Date : 2024-12-26
Ict For Intelligent Systems written by Jyoti Choudrie and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining, and software analysis. It presents the outcomes of the 8th International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2024), held in Ahmedabad, India. The book is divided into six volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.
Kernel Based Algorithms For Mining Huge Data Sets
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Author : Te-Ming Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-02
Kernel Based Algorithms For Mining Huge Data Sets written by Te-Ming Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-02 with Computers categories.
This is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction and shows the similarities and differences between the two most popular unsupervised techniques.
Deep Reinforcement Learning
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Author : Hao Dong
language : en
Publisher: Springer Nature
Release Date : 2020-06-29
Deep Reinforcement Learning written by Hao Dong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.
Intelligent Sustainable Systems
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Author : Atulya Nagar
language : en
Publisher: Springer Nature
Release Date : 2025-08-02
Intelligent Sustainable Systems written by Atulya Nagar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.
This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2024) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management Prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in four volumes. The book is helpful for active researchers and practitioners in the field.
Machine Learning And Knowledge Discovery In Databases
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Author : Hendrik Blockeel
language : en
Publisher: Springer
Release Date : 2013-08-28
Machine Learning And Knowledge Discovery In Databases written by Hendrik Blockeel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-28 with Computers categories.
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.
Numerical Optimization
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Author : Udayan Bhattacharya
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Numerical Optimization written by Udayan Bhattacharya and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Science categories.
"Numerical Optimization: Theories and Applications" is a comprehensive guide that delves into the fundamental principles, advanced techniques, and practical applications of numerical optimization. We provide a systematic introduction to optimization theory, algorithmic methods, and real-world applications, making it an essential resource for students, researchers, and practitioners in optimization and related disciplines. We begin with an in-depth exploration of foundational concepts in optimization, covering topics such as convex and non-convex optimization, gradient-based methods, and optimization algorithms. Building upon these basics, we delve into advanced optimization techniques, including metaheuristic algorithms, evolutionary strategies, and stochastic optimization methods, providing readers with a comprehensive understanding of state-of-the-art optimization methods. Practical applications of optimization are highlighted throughout the book, with case studies and examples drawn from various domains such as machine learning, engineering design, financial portfolio optimization, and more. These applications demonstrate how optimization techniques can effectively solve complex real-world problems. Recognizing the importance of ethical considerations, we address issues such as fairness, transparency, privacy, and societal impact, guiding readers on responsibly navigating these considerations in their optimization projects. We discuss computational challenges in optimization, such as high dimensionality, non-convexity, and scalability issues, and provide strategies for overcoming these challenges through algorithmic innovations, parallel computing, and optimization software. Additionally, we provide a comprehensive overview of optimization software and libraries, including MATLAB Optimization Toolbox, Python libraries like SciPy and CVXPY, and emerging optimization frameworks, equipping readers with the tools and resources needed to implement optimization algorithms in practice. Lastly, we explore emerging trends, future directions, and challenges in optimization, offering insights into the evolving landscape of optimization research and opportunities for future exploration.
Informatics In Schools Innovative Approaches To Computer Science Teaching And Learning
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Author : Zsuzsa Pluhár
language : en
Publisher: Springer Nature
Release Date : 2024-10-12
Informatics In Schools Innovative Approaches To Computer Science Teaching And Learning written by Zsuzsa Pluhár and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Education categories.
This book constitutes the proceedings of the 17th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2024, held in Budapest, Hungary, during October 28–30, 2024. The 14 full papers presented were carefully reviewed and selected from 42 submissions. The papers cover the following topics: curricula and computer science concepts; problem solving, algorithms and programming; teacher’s perspective.