Machine Learning Algorithms For The Belle Ii Experiment And Their Validation On Belle Data

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Machine Learning at the Belle II Experiment

Author : Thomas Keck
Publisher : Springer
ISBN 13 : 3319982494
Total Pages : 180 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Machine Learning at the Belle II Experiment by : Thomas Keck

Download or read book Machine Learning at the Belle II Experiment written by Thomas Keck and published by Springer. This book was released on 2018-12-29 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments. The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts. The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine learning techniques that can be used to control and reduce systematic uncertainties. The third part investigates the important exclusive B tagging technique, unique to physics experiments operating at the Υ resonances, and studies in-depth the novel Full Event Interpretation algorithm, which doubles the maximum tag-side efficiency of its predecessor. The fourth part presents a complete measurement of the branching fraction of the rare leptonic B decay “B→tau nu”, which is used to validate the algorithms discussed in previous parts.

Machine Learning With Radiation Oncology Big Data

Author : Jun Deng
Publisher : Frontiers Media SA
ISBN 13 : 2889457303
Total Pages : 146 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Machine Learning With Radiation Oncology Big Data by : Jun Deng

Download or read book Machine Learning With Radiation Oncology Big Data written by Jun Deng and published by Frontiers Media SA. This book was released on 2019-01-21 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

Author : Rudolf Frühwirth
Publisher : Springer Nature
ISBN 13 : 303065771X
Total Pages : 208 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors by : Rudolf Frühwirth

Download or read book Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors written by Rudolf Frühwirth and published by Springer Nature. This book was released on 2021 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.

Statistical Data Analytics

Author : Walter W. Piegorsch
Publisher : John Wiley & Sons
ISBN 13 : 1119043573
Total Pages : 488 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Statistical Data Analytics by : Walter W. Piegorsch

Download or read book Statistical Data Analytics written by Walter W. Piegorsch and published by John Wiley & Sons. This book was released on 2015-06-11 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to statistical methods for data mining and knowledge discovery. Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced. Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others. Statistical Data Analytics: Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques. Provides informative, technical details for the highlighted methods. Employs the open-source R language as the computational vehicle – along with its burgeoning collection of online packages – to illustrate many of the analyses contained in the book. Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas. This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.

Validity, Reliability, and Significance

Author : Stefan Riezler
Publisher : Springer Nature
ISBN 13 : 3031570650
Total Pages : 179 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Validity, Reliability, and Significance by : Stefan Riezler

Download or read book Validity, Reliability, and Significance written by Stefan Riezler and published by Springer Nature. This book was released on with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning in Educational Sciences

Author : Myint Swe Khine
Publisher : Springer Nature
ISBN 13 : 9819993792
Total Pages : 389 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Machine Learning in Educational Sciences by : Myint Swe Khine

Download or read book Machine Learning in Educational Sciences written by Myint Swe Khine and published by Springer Nature. This book was released on with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence

Author : Anupam Shukla
Publisher : Springer Nature
ISBN 13 : 9811973466
Total Pages : 818 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computational Intelligence by : Anupam Shukla

Download or read book Computational Intelligence written by Anupam Shukla and published by Springer Nature. This book was released on 2023-02-15 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.

Human-centered AI: Crowd computing

Author : Jie Yang
Publisher : Frontiers Media SA
ISBN 13 : 2832525024
Total Pages : 158 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Human-centered AI: Crowd computing by : Jie Yang

Download or read book Human-centered AI: Crowd computing written by Jie Yang and published by Frontiers Media SA. This book was released on 2023-06-02 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media

Author : Cyril Onwubiko
Publisher : Springer Nature
ISBN 13 : 9811964149
Total Pages : 476 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media by : Cyril Onwubiko

Download or read book Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media written by Cyril Onwubiko and published by Springer Nature. This book was released on 2023-03-07 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights advances in Cyber Security, Cyber Situational Awareness (CyberSA), Artificial Intelligence (AI) and Social Media. It brings together original discussions, ideas, concepts and outcomes from research and innovation from multidisciplinary experts. It offers topical, timely and emerging original innovations and research results in cyber situational awareness, security analytics, cyber physical systems, blockchain technologies, machine learning, social media and wearables, protection of online digital service, cyber incident response, containment, control, and countermeasures (CIRC3). The theme of Cyber Science 2022 is Ethical and Responsible use of AI. Includes original contributions advancing research in Artificial Intelligence, Machine Learning, Blockchain, Cyber Security, Social Media, Cyber Incident Response & Cyber Insurance. Chapters “Municipal Cybersecurity—A Neglected Research Area? A Survey of Current Research", "The Transnational Dimension of Cybersecurity: The NIS Directive and its Jurisdictional Challenges" and "Refining the Mandatory Cybersecurity Incident Reporting under the NIS Directive 2.0: Event Types and Reporting Processes” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Decision Intelligence

Author : B. K. Murthy
Publisher : Springer Nature
ISBN 13 : 9819959977
Total Pages : 416 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Decision Intelligence by : B. K. Murthy

Download or read book Decision Intelligence written by B. K. Murthy and published by Springer Nature. This book was released on 2023-11-24 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.

High-Entropy Materials: Theory, Experiments, and Applications

Author : Jamieson Brechtl
Publisher : Springer Nature
ISBN 13 : 3030776417
Total Pages : 776 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis High-Entropy Materials: Theory, Experiments, and Applications by : Jamieson Brechtl

Download or read book High-Entropy Materials: Theory, Experiments, and Applications written by Jamieson Brechtl and published by Springer Nature. This book was released on 2022-01-03 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses fundamental studies involving the history, modelling, simulation, experimental work, and applications on high-entropy materials. Topics include data-driven and machine-learning approaches, additive-manufacturing techniques, computational and analytical methods, such as density functional theory and multifractal analysis, mechanical behavior, high-throughput methods, and irradiation effects. The types of high-entropy materials consist of alloys, oxides, and ceramics. The book then concludes with a discussion on potential future applications of these novel materials.

Artificial Intelligence and Industrial Applications

Author : Tawfik Masrour
Publisher : Springer Nature
ISBN 13 : 3030511863
Total Pages : 442 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour

Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2020-09-01 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco. The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction

Author : Bin Fang
Publisher : Frontiers Media SA
ISBN 13 : 2889668444
Total Pages : 224 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction by : Bin Fang

Download or read book Integrated Multi-modal and Sensorimotor Coordination for Enhanced Human-Robot Interaction written by Bin Fang and published by Frontiers Media SA. This book was released on 2021-06-08 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ECAI 2020

Author : G. De Giacomo
Publisher : IOS Press
ISBN 13 : 164368101X
Total Pages : 3122 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2020 by : G. De Giacomo

Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Latent Semantic Mapping

Author : Jerome R. Bellegarda
Publisher : Springer Nature
ISBN 13 : 3031025563
Total Pages : 101 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Latent Semantic Mapping by : Jerome R. Bellegarda

Download or read book Latent Semantic Mapping written by Jerome R. Bellegarda and published by Springer Nature. This book was released on 2022-05-31 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which is partially obscured by the randomness of word choice with respect to retrieval. Algebraic and/or statistical techniques are brought to bear to estimate this structure and get rid of the obscuring ""noise."" This results in a parsimonious continuous parameter description of words and documents, which then replaces the original parameterization in indexing and retrieval. This approach exhibits three main characteristics: -Discrete entities (words and documents) are mapped onto a continuous vector space; -This mapping is determined by global correlation patterns; and -Dimensionality reduction is an integral part of the process. Such fairly generic properties are advantageous in a variety of different contexts, which motivates a broader interpretation of the underlying paradigm. The outcome (LSM) is a data-driven framework for modeling meaningful global relationships implicit in large volumes of (not necessarily textual) data. This monograph gives a general overview of the framework, and underscores the multifaceted benefits it can bring to a number of problems in natural language understanding and spoken language processing. It concludes with a discussion of the inherent tradeoffs associated with the approach, and some perspectives on its general applicability to data-driven information extraction. Contents: I. Principles / Introduction / Latent Semantic Mapping / LSM Feature Space / Computational Effort / Probabilistic Extensions / II. Applications / Junk E-mail Filtering / Semantic Classification / Language Modeling / Pronunciation Modeling / Speaker Verification / TTS Unit Selection / III. Perspectives / Discussion / Conclusion / Bibliography

The Physics of the B Factories

Author : Adrian Bevan
Publisher : Springer
ISBN 13 : 9783662449905
Total Pages : 0 pages
Book Rating : 4.4/5 (499 download)

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Book Synopsis The Physics of the B Factories by : Adrian Bevan

Download or read book The Physics of the B Factories written by Adrian Bevan and published by Springer. This book was released on 2015-03-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive work thoroughly introduces and reviews the set of results from Belle and BaBar - after more than two decades of independent and complementary work - all the way from the detectors and the analysis tools used, up to the physics results, and the interpretation of these results. The world’s two giant B Factory collaborations, Belle at KEK and BaBar at SLAC, have successfully completed their main mission to discover and quantify CP violation in the decays of B mesons. CP violation is a necessary requirement to distinguish unambiguously between matter and antimatter. The shared primary objective of the two B Factory experiments was to determine the shape of the so-called unitarity triangle, an abstract triangle representing interactions of quarks, the elementary constituents of matter. The area of the triangle is a measure of the amount of CP violation associated with the weak force. Many other measurements have been performed by the B Factories and are also discussed in this work.

LHC Physics

Author : T. Binoth
Publisher : CRC Press
ISBN 13 : 1439837708
Total Pages : 415 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis LHC Physics by : T. Binoth

Download or read book LHC Physics written by T. Binoth and published by CRC Press. This book was released on 2012-04-25 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the phenomenology of the Large Hadron Collider (LHC) at CERN, LHC Physics focuses on the first years of data collected at the LHC as well as the experimental and theoretical tools involved. It discusses a broad spectrum of experimental and theoretical activity in particle physics, from the searches for the Higgs boson and physics beyond the Standard Model to studies of quantum chromodynamics, the B-physics sector, and the properties of dense hadronic matter in heavy-ion collisions. Covering the topics in a pedagogical manner, the book introduces the theoretical and phenomenological framework of hadron collisions and presents the current theoretical models of frontier physics. It offers overviews of the main detector components, the initial calibration procedures, and search strategies. The authors also provide explicit examples of physics analyses drawn from the recently shut down Tevatron. In the coming years, or perhaps even sooner, the LHC experiments may reveal the Higgs boson and offer insight beyond the Standard Model. Written by some of the most prominent and active researchers in particle physics, this volume equips new physicists with the theory and tools needed to understand the various LHC experiments and prepares them to make future contributions to the field.