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Algorithms and Law, Martin Ebers, Susana Navas


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Цена: 3960.00р.
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Автор: Martin Ebers, Susana Navas
Название:  Algorithms and Law
ISBN: 9781009356381
Издательство: Cambridge Academ
Классификация:





ISBN-10: 1009356380
Обложка/Формат: Paperback
Страницы: 319
Вес: 0.76 кг.
Дата издания: 02.02.2023
Язык: English
Иллюстрации: Worked examples or exercises; 1 tables, black and white; 1 halftones, black and white
Размер: 152 x 229 x 34
Читательская аудитория: Professional & vocational
Ключевые слова: Artificial intelligence,Banking law,Criminal law & procedure,E-commerce law,Financial law,Intellectual property law, LAW / General
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Algorithms permeate our lives in numerous ways, performing tasks that until recently could only be carried out by humans. Artificial Intelligence (AI) technologies, based on machine learning algorithms and big-data-powered systems, can perform sophisticated tasks such as driving cars, analyzing medical data, and evaluating and executing complex financial transactions - often without active human control or supervision. Algorithms also play an important role in determining retail pricing, online advertising, loan qualification, and airport security. In this work, Martin Ebers and Susana Navas bring together a group of scholars and practitioners from across Europe and the US to analyze how this shift from human actors to computers presents both practical and conceptual challenges for legal and regulatory systems. This book should be read by anyone interested in the intersection between computer science and law, how the law can better regulate algorithmic design, and the legal ramifications for citizens whose behavior is increasingly dictated by algorithms.


Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics

Автор: Sujatha R., Aarthy S. L., Vettriselvan R.
Название: Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics
ISBN: 0367466635 ISBN-13(EAN): 9780367466633
Издательство: Taylor&Francis
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Цена: 17609.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 20446.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Machine Learning Algorithms for Industrial Applications

Автор: Das, S.K., Das, S.P., Dey, N., Hassanien, A.-E.
Название: Machine Learning Algorithms for Industrial Applications
ISBN: 3030506401 ISBN-13(EAN): 9783030506407
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics.

Cultural Algorithms: Tools to Model Complex Dynamic Social Systems

Автор: Robert G. Reynolds, Yousof Gawasmeh
Название: Cultural Algorithms: Tools to Model Complex Dynamic Social Systems
ISBN: 1119403081 ISBN-13(EAN): 9781119403081
Издательство: Wiley
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Цена: 17258.00 р.
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Описание:

A thorough look at how societies can use cultural algorithms to understand human social evolution

For those working in computational intelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems, is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work.

For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms.

In addition to these topics, the book covers topics including:

● The CAT system including the Repast Simphony System and CAT Sample Runs

● How to problem solve using social networks in cultural algorithms with auctions

● Understanding Common Value Action to enhance Social Knowledge Distribution Systems

● Case studies on team formations

● An exploration of virtual worlds using cultural algorithms

For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.

Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments

Автор: Kang Min-wook, Schonfeld Paul
Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
ISBN: 9813272805 ISBN-13(EAN): 9789813272804
Издательство: World Scientific Publishing
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Цена: 14256.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Particle Swarm Optimisation: Classical and Quantum Perspectives

Автор: Jun Sun, Choi-Hong Lai, Xiao-Jun Wu
Название: Particle Swarm Optimisation: Classical and Quantum Perspectives
ISBN: 1439835764 ISBN-13(EAN): 9781439835760
Издательство: Taylor&Francis
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Цена: 27562.00 р.
Наличие на складе: Поставка под заказ.

Описание: Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d

Subjective Logic: A Formalism for Reasoning Under Uncertainty (Artificial Intelligence: Foundations, Theory, and Algorithms) 1st ed. 2016 Edition, Kindle Edition by Audun J?sang (Author)

Название: Subjective Logic: A Formalism for Reasoning Under Uncertainty (Artificial Intelligence: Foundations, Theory, and Algorithms) 1st ed. 2016 Edition, Kindle Edition by Audun J?sang (Author)
ISBN: 3319825550 ISBN-13(EAN): 9783319825557
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments.

The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Автор: Fong, Simon James, Millham, Richard C
Название: Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
ISBN: 9811566941 ISBN-13(EAN): 9789811566943
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases.

Reinforcement learning algorithms with python

Автор: Lonza, Andrea
Название: Reinforcement learning algorithms with python
ISBN: 1789131111 ISBN-13(EAN): 9781789131116
Издательство: Неизвестно
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Цена: 7171.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: With this book, you will understand the core concepts and techniques of reinforcement learning. You will take a look into each RL algorithm and will develop your own self-learning algorithms and models. You will optimize the algorithms for better precision, use high-speed actions and lower the risk of anomalies in your applications.

Cybernetics and Algorithms in Intelligent Systems

Автор: Silhavy
Название: Cybernetics and Algorithms in Intelligent Systems
ISBN: 3319911910 ISBN-13(EAN): 9783319911915
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents recent research on Software Engineering and Algorithms in Intelligent SystemsProceedings of the 7th Computer Science On-line Conference 2018 (CSOC2018)The proceedings are divided in three volumes Volume 1: Software Engineering and Algorithms in Intelligent Systems, Volume 2: Artificial Intelligence and Algorithms in Intelligent Systems, Volume 3: Cybernetics and Algorithms in Intelligent Systems

Software Engineering and Algorithms in Intelligent Systems

Автор: Silhavy
Название: Software Engineering and Algorithms in Intelligent Systems
ISBN: 3319911856 ISBN-13(EAN): 9783319911854
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents recent research on Software Engineering and Algorithms in Intelligent SystemsProceedings of the 7th Computer Science On-line Conference 2018 (CSOC2018)The proceedings are divided in three volumes Volume 1: Software Engineering and Algorithms in Intelligent Systems, Volume 2: Artificial Intelligence and Algorithms in Intelligent Systems, Volume 3: Cybernetics and Algorithms in Intelligent Systems

Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions

Автор: Buontempo Frances
Название: Genetic Algorithms and Machine Learning for Programmers: Create AI Models and Evolve Solutions
ISBN: 168050620X ISBN-13(EAN): 9781680506204
Издательство: Wiley
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Цена: 5859.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.

Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.

In this book, you will:

  • Use heuristics and design fitness functions.
  • Build genetic algorithms.
  • Make nature-inspired swarms with ants, bees and particles.
  • Create Monte Carlo simulations.
  • Investigate cellular automata.
  • Find minima and maxima, using hill climbing and simulated annealing.
  • Try selection methods, including tournament and roulette wheels.
  • Learn about heuristics, fitness functions, metrics, and clusters.

Test your code and get inspired to try new problems. Work through scenarios to code your way out of a paper bag; an important skill for any competent programmer. See how the algorithms explore and learn by creating visualizations of each problem. Get inspired to design your own machine learning projects and become familiar with the jargon.

What You Need:

Code in C++ (>= C++11), Python (2.x or 3.x) and JavaScript (using the HTML5 canvas). Also uses matplotlib and some open source libraries, including SFML, Catch and Cosmic-Ray. These plotting and testing libraries are not required but their use will give you a fuller experience. Armed with just a text editor and compiler/interpreter for your language of choice you can still code along from the general algorithm descriptions.


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