The Collected Works of Wassily Hoeffding

The Collected Works of Wassily Hoeffding PDF Author: Wassily Hoeffding
Publisher: Springer Science & Business Media
ISBN: 1461208653
Category : Mathematics
Languages : en
Pages : 653

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Book Description
It has been a rare privilege to assemble this volume of Wassily Hoeffding's Collected Works. Wassily was, variously, a teacher, supervisor and colleague to us, and his work has had a profound influence on our own. Yet this would not be sufficient reason to publish his collected works. The additional and overwhelmingly compelling justification comes from the fun damental nature of his contributions to Statistics and Probability. Not only were his ideas original, and far-reaching in their implications; Wassily de veloped them so completely and elegantly in his papers that they are still cited as prime references up to half a century later. However, three of his earliest papers are cited rarely, if ever. These include material from his doctoral dissertation. They were written in German, and two of them were published in relatively obscure series. Rather than reprint the original articles, we have chosen to have them translated into English. These trans lations appear in this book, making Wassily's earliest research available to a wide audience for the first time. All other articles (including those of his contributions to Mathematical Reviews which go beyond a simple reporting of contents of articles) have been reproduced as they appeared, together with annotations and corrections made by Wassily on some private copies of his papers. Preceding these articles are three review papers which dis cuss the . impact of his work in some of the areas where he made major contributions.

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning PDF Author: Bart Bogaerts
Publisher: Springer Nature
ISBN: 3030651541
Category : Computers
Languages : en
Pages : 211

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Book Description
This book contains a selection of the best papers of the 31st Benelux Conference on Artificial Intelligence, BNAIC 2019, and 28th Belgian Dutch Machine Learning Conference, BENELEARN 2019, held in Brussels, Belgium in November 2019. The 11 papers presented in this volume were carefully reviewed and selected from 50 regular submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis.

Networked Systems

Networked Systems PDF Author: Mohamed Faouzi Atig
Publisher: Springer Nature
ISBN: 3030312771
Category : Computers
Languages : en
Pages : 398

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Book Description
This book constitutes the revised selected papers of the 7th International Conference on Networked Systems, NETYS 2019, held in Marrakech, Morocco, in June 2019. The 23 revised full papers and 3 short papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in the following topics: formal verification, distributed systems, security, concurrency, and networks.

Financial Engineering with Copulas Explained

Financial Engineering with Copulas Explained PDF Author: J. Mai
Publisher: Springer
ISBN: 1137346310
Category : Business & Economics
Languages : en
Pages : 167

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Book Description
This is a succinct guide to the application and modelling of dependence models or copulas in the financial markets. First applied to credit risk modelling, copulas are now widely used across a range of derivatives transactions, asset pricing techniques and risk models and are a core part of the financial engineer's toolkit.

Digital Quantum Information Processing with Continuous-Variable Systems

Digital Quantum Information Processing with Continuous-Variable Systems PDF Author: Takaya Matsuura
Publisher: Springer Nature
ISBN: 9811982880
Category : Science
Languages : en
Pages : 172

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Book Description
The book provides theoretical methods of connecting discrete-variable quantum information processing to continuous-variable one. It covers the two major fields of quantum information processing, quantum communication and quantum computation, leading to achievement of a long-sought full security of continuous-variable quantum key distribution (QKD) and proposal of a resource-efficient method for optical quantum computing. Firstly, the book provides a security of continuous-variable QKD against arbitrary attacks under a realistic condition such as finite communication rounds and the use of digitized information processing. The book also provides the unified view for conventionally used approximate Gottesman-Kitaev-Preskill (GKP) codes, which encodes qudits on a continuous-variable system, enabling direct comparison between researches based on different approximations. The book finally proposes a resource-efficient method to realize the universal optical quantum computation using the GKP code via the direct preparation of the GKP magic state instead of GKP Pauli states. Feasibility of the proposed protocol is discussed based on the existing experimental proposals for the GKP state preparation.

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases PDF Author: Massih-Reza Amini
Publisher: Springer Nature
ISBN: 3031264096
Category : Computers
Languages : en
Pages : 722

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Book Description
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.

Theory of Cryptography

Theory of Cryptography PDF Author: Guy Rothblum
Publisher: Springer Nature
ISBN: 3031486153
Category : Computers
Languages : en
Pages : 512

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Book Description
The four-volume set LNCS 14369 until 14372 constitutes the refereed proceedings of the 21st International Conference on Theory of Cryptography, TCC 2023, held in Taipei, Taiwan, in November/December 2023. The total of 68 full papers presented in the proceedings was carefully reviewed and selected from 168 submissions. They focus on topics such as proofs and outsourcing; theoretical foundations; multi-party computation; encryption; secret sharing, PIR and memory checking; anonymity, surveillance and tampering; lower bounds; IOPs and succinctness; lattices; quantum cryptography; Byzantine agreement, consensus and composability.

Distributions With Given Marginals and Statistical Modelling

Distributions With Given Marginals and Statistical Modelling PDF Author: Carles M. Cuadras
Publisher: Springer Science & Business Media
ISBN: 9401700613
Category : Mathematics
Languages : en
Pages : 252

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Book Description
This volume contains the papers presented at the meeting "Distributions with given marginals and statistical modelling", held in Barcelona (Spain), July 17- 20, 2000. This is the fourth meeting on given marginals, showing that this topic has aremarkable interest. BRIEF HISTORY The construction of distributions with given marginals started with the seminal papers by Hoeffding (1940) and Fn!chet (1951). Since then, many others have contributed on this topic: Dall' Aglio, Farlie, Gumbel, Johnson, Kellerer, Kotz, Morgenstern, Marshali, Olkin, Strassen, Vitale, Whitt, etc., as weIl as Arnold, Cambanis, Deheuvels, Genest, Frank, Joe, Kirneldorf, Nelsen, Rüschendorf, Sampson, Scarsini, Tiit, etc. In 1957 Sklar and Schweizer introduced probabilistic metric spaces. In 1975 Kirneldorf and Sampson studied the uniform representation of a bivariate dis tribution and proposed the desirable conditions that should be satisfied by any bivariate family. In 1991 Darsow, Nguyen and Olsen defined a natural operation between cop ulas, with applications in stochastic processes. In 1993, AIsina, Nelsen and Schweizer introduced the notion of quasi-copula

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases PDF Author: Ulf Brefeld
Publisher: Springer Nature
ISBN: 3030461505
Category : Computers
Languages : en
Pages : 799

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Book Description
The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization. Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing. Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track. Chapter "Heavy-tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Formal Methods

Formal Methods PDF Author: Andre Platzer
Publisher: Springer Nature
ISBN: 3031711777
Category :
Languages : en
Pages : 669

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Book Description