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  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence  (112)
  • thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
  • Springer Nature  (135)
  • English  (135)
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  • 11
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    Metalearning (2022)
    Springer Nature | Springer
    Details
    Publication Date: 2024-04-14
    Description: This open access book as one of the fastest-growing areas of research in machine learning, metalearning studies principled methods to obtain efficient models and solutions by adapting machine learning and data mining processes. This adaptation usually exploits information from past experience on other tasks and the adaptive processes can involve machine learning approaches. As a related area to metalearning and a hot topic currently, automated machine learning (AutoML) is concerned with automating the machine learning processes. Metalearning and AutoML can help AI learn to control the application of different learning methods and acquire new solutions faster without unnecessary interventions from the user. This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. It can thus help developers to develop systems that can improve themselves through experience. This book is a substantial update of the first edition published in 2009. It includes 18 chapters, more than twice as much as the previous version. This enabled the authors to cover the most relevant topics in more depth and incorporate the overview of recent research in the respective area. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining, data science and artificial intelligence. ; Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
    Keywords: Metalearning ; Automating Machine Learning (AutoML) ; Machine Learning ; Artificial Intelligence ; algorithm selection ; algorithm recommendation ; algorithm configuration ; hyperparameter optimization ; automating the workflow/pipeline design ; metalearning in ensemble construction ; metalearning in deep neural networks ; transfer learning ; algorithm recommendation for data streams ; automating data science ; Open Access ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
    Language: English
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  • 12
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    From Digital Twins to Digital Selves and Beyond (2022)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: This open access book aims at deepening the understanding of the relation between cyber-physical systems (CPSs) as socio-technical systems and their digital representations with intertwined artificial intelligence (AI). The authors describe why it is crucial for digital selves to be able to develop emotional behavior and why a humanity-inspired AI is necessary so that humans and humanoids can coexist. The introductory chapter describes major milestones in computer science which form the basis for the implementation of digital twins and digital selves. The subsequent Part I then lays the foundation to develop a socio-technical understanding of the nature of digital twins as representations and trans-human development objects. Following the conceptual understanding of digital twins and how they could be engineered according to cognitive and organizational structures, Part II forms the groundwork for understanding social behavior and its modeling. It discusses various perception-based socio-emotional approaches before sketching behavior-relevant models and their simulation capabilities. In particular, it is shown how emotions can substantially influence the collective behavior of artificial actors. Part III eventually presents a symbiosis showing under which preconditions digital selves might construct and produce digital twins as integrated design elements in trans-human ecosystems. The chapters in this part are dedicated to opportunities and modes of co-creating reflective socio-trans-human systems based on digital twin models, exploring mutual control and continuous development. The final epilog is congenitally speculative in its nature by presenting thoughts on future developments of artificial life in computational substrates. The book is written for researchers and professionals in areas like cyber-physical systems, robotics, social simulation or systems engineering, interested to take a speculative look into the future of digital twins and autonomous agents. It also touches upon philosophical aspects of digital twins, digital selves and humanoids.
    Keywords: Trans-Humanism ; Digital Twins ; Digital Society ; Artificial Intelligence ; Transformative Change ; Cyber-Physical Systems ; Robotics ; thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
    Language: English
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  • 13
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    Automated Machine Learning (2021)
    Springer Nature
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    Publication Date: 2024-04-14
    Description: This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
    Keywords: Computer science ; Artificial intelligence ; Optical data processing ; Pattern recognition ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
    Language: English
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  • 14
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    Frontiers of Combining Systems (2023)
    Springer Nature | Springer Nature Switzerland
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    Publication Date: 2024-04-14
    Description: This book constitutes the refereed proceedings of the 14th International Symposium on Frontiers of Combining Systems, FroCoS 2023, held in Prague, Czech Republic, in September 2023. The symposium was co-located with the 32nd International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2023. The 14 papers presented were thorouhgly reviewed and selected from the 22 high-quality paper submissions. They are grouped in the volume according to the following topic classification: analysis of programs and equations; unification; decidable fragments; frameworks; higher-order theorem proving. This is an open access book.
    Keywords: artificial intelligence ; computer networks ; automated reasoning ; computer systems ; description logics ; formal languages ; formal logic ; constraint solving ; decision procedures ; network protocols ; ontologies ; semantics ; software architecture ; software design ; software engineering ; software quality ; verification and validation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
    Language: English
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  • 15
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    Classification and Data Science in the Digital Age (2023)
    Springer Nature | Springer International Publishing
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    Publication Date: 2024-04-14
    Description: The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education. The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19–23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.
    Keywords: Classification ; Data Science ; Clustering ; Statistical Learning ; Machine Learning ; Data Analysis ; Mutlivariate Analysis ; Statistical Inference ; Dimension Reduction ; Functional Data Analysis ; Time Series Analysis ; Network Analysis ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining ; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
    Language: English
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  • 16
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    Programming Languages and Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the proceedings of the 30th European Symposium on Programming, ESOP 2021, which was held during March 27 until April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The 24 papers included in this volume were carefully reviewed and selected from 79 submissions. They deal with fundamental issues in the specification, design, analysis, and implementation of programming languages and systems.
    Keywords: Programming Languages, Compilers, Interpreters ; Natural Language Processing (NLP) ; Software Engineering ; Logics and Meanings of Programs ; Computer Systems Organization and Communication Networks ; Compilers and Interpreters ; Computer Science Logic and Foundations of Programming ; Computer Engineering and Networks ; computer programming ; concurrency theory ; distributed computer systems ; formal logic ; lamdba calculi ; linguistics ; logic ; object-oriented programming ; parallel processing systems ; probabilistic programming ; process calculi ; program compilers ; semantics ; software design ; software quality ; theory ; types ; verification and validation ; Programming & scripting languages: general ; Compilers & interpreters ; Natural language & machine translation ; Computer programming / software engineering ; Computer architecture & logic design ; Computer networking & communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMX Programming and scripting languages: general ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
    Language: English
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  • 17
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    Computer Aided Verification (2021)
    Springer Nature
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    Publication Date: 2024-04-14
    Description: This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verification to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications.
    Keywords: Computer science ; Computer logic ; Software engineering ; Artificial intelligence ; Mathematical logic ; Algorithms ; Computer simulation ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
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  • 18
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    Tools and Algorithms for the Construction and Analysis of Systems (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access two-volume set constitutes the proceedings of the 27th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2021, which was held during March 27 – April 1, 2021, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021. The conference was planned to take place in Luxembourg and changed to an online format due to the COVID-19 pandemic. The total of 41 full papers presented in the proceedings was carefully reviewed and selected from 141 submissions. The volume also contains 7 tool papers; 6 Tool Demo papers, 9 SV-Comp Competition Papers. The papers are organized in topical sections as follows: Part I: Game Theory; SMT Verification; Probabilities; Timed Systems; Neural Networks; Analysis of Network Communication. Part II: Verification Techniques (not SMT); Case Studies; Proof Generation/Validation; Tool Papers; Tool Demo Papers; SV-Comp Tool Competition Papers.
    Keywords: Theory of Computation ; Computer Systems Organization and Communication Networks ; Control Structures and Microprogramming ; Logic in AI ; Information Systems and Communication Service ; Computer Engineering and Networks ; architecture verification and validation ; artificial intelligence ; automata theory ; computer networks ; embedded systems ; formal languages ; formal logic ; linguistics ; mathematics ; model checking ; model-checking ; SAT and SMT solving ; signal processing ; software and hardware verification ; software architecture ; software engineering ; specification and verification techniques ; static and dynamic program analysis ; system construction and transforamtion techniques ; theorem-proving ; Computer science ; Mathematical theory of computation ; Computer networking & communications ; Algorithms & data structures ; thema EDItEUR::U Computing and Information Technology::UY Computer science ; thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications ; thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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  • 19
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    Graph Structures for Knowledge Representation and Reasoning (2021)
    Springer Nature | Springer
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    Publication Date: 2024-04-14
    Description: This open access book constitutes the thoroughly refereed post-conference proceedings of the 6th International Workshop on Graph Structures for Knowledge Representation and Reasoning, GKR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 7 revised full papers presented together with 2 invited contributions were reviewed and selected from 9 submissions. The contributions address various issues for knowledge representation and reasoning and the common graph-theoretic background, which allows to bridge the gap between the different communities.
    Keywords: Artificial Intelligence ; Information Systems Applications (incl. Internet) ; Computer Communication Networks ; Mathematical Logic and Formal Languages ; Computer and Information Systems Applications ; Formal Languages and Automata Theory ; open access ; concept lattices ; data mining ; databases ; fca ; formal concept analysis ; formal languages ; formal logic ; information analysis ; information systems ; knowledge-based system ; model-based reasoning ; network protocols ; ontologies ; Information retrieval ; Internet searching ; Network hardware ; Mathematical theory of computation ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence ; thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval ; thema EDItEUR::U Computing and Information Technology::UK Computer hardware::UKN Network hardware ; thema EDItEUR::U Computing and Information Technology::UY Computer science
    Language: English
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  • 20
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    Artificial Intelligence Technology (2022)
    Springer Nature | Springer Nature Singapore
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    Publication Date: 2024-04-14
    Description: This open access book aims to give our readers a basic outline of today’s research and technology developments on artificial intelligence (AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the fundamental and common theories and methodologies that are widely accepted in AI research and application. This book is written in comprehensible and plain language, featuring clearly explained theories and concepts and extensive analysis and examples. Some of the traditional findings are skipped in narration on the premise of a relatively comprehensive introduction to the evolution of artificial intelligence technology. The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and Huawei CLOUD Enterprise Intelligence application platform. As the world’s leading provider of ICT (information and communication technology) infrastructure and smart terminals, Huawei’s products range from digital data communication, cyber security, wireless technology, data storage, cloud computing, and smart computing to artificial intelligence.
    Keywords: Artificial Intelligence ; Cloud Computing ; Big Data ; Certification ; Huawei ; MindSpore ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
    Language: English
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