Advances In Artificial Intelligence From Theory To Practice

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Advances In Artificial Intelligence From Theory To Practice


Advances In Artificial Intelligence From Theory To Practice
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Advances In Artificial Intelligence From Theory To Practice


Advances In Artificial Intelligence From Theory To Practice
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Author : Salem Benferhat
language : en
Publisher: Springer
Release Date : 2017-06-10

Advances In Artificial Intelligence From Theory To Practice written by Salem Benferhat and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-10 with Computers categories.


The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.

Advances And Trends In Artificial Intelligence From Theory To Practice


Advances And Trends In Artificial Intelligence From Theory To Practice
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date :

Advances And Trends In Artificial Intelligence From Theory To Practice written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Advances And Trends In Artificial Intelligence From Theory To Practice


Advances And Trends In Artificial Intelligence From Theory To Practice
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Author : Franz Wotawa
language : en
Publisher: Springer
Release Date : 2019-06-28

Advances And Trends In Artificial Intelligence From Theory To Practice written by Franz Wotawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.


This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.

Advances And Trends In Artificial Intelligence From Theory To Practice


Advances And Trends In Artificial Intelligence From Theory To Practice
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Author : Franz Wotawa
language : en
Publisher:
Release Date : 2019

Advances And Trends In Artificial Intelligence From Theory To Practice written by Franz Wotawa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Artificial intelligence categories.


This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well.

Advances And Trends In Artificial Intelligence From Theory To Practice


Advances And Trends In Artificial Intelligence From Theory To Practice
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READ ONLINE


Author : Hamido Fujita
language : en
Publisher: Springer
Release Date : 2021-07-20

Advances And Trends In Artificial Intelligence From Theory To Practice written by Hamido Fujita and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-20 with Computers categories.


This two-volume set of LNAI 12798 and 12799 constitutes the thoroughly refereed proceedings of the 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, held virtually and in Kuala Lumpur, Malaysia, in July 2021. The 87 full papers and 19 short papers presented were carefully reviewed and selected from 145 submissions. The IEA/AIE 2021 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include the following: Part I, Artificial Intelligence Practices: Knowledge discovery and pattern mining; artificial intelligence and machine learning; sematic, topology, and ontology models; medical and health-related applications; graphic and social network analysis; signal and bioinformatics processing; evolutionary computation; attack security; natural language and text processing; fuzzy inference and theory; and sensor and communication networks Part II, From Theory to Practice: Prediction and recommendation; data management, clustering and classification; robotics; knowledge based and decision support systems; multimedia applications; innovative applications of intelligent systems; CPS and industrial applications; defect, anomaly and intrusion detection; financial and supply chain applications; Bayesian networks; BigData and time series processing; and information retrieval and relation extraction

Machine Learning In Finance


Machine Learning In Finance
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Author : Matthew F. Dixon
language : en
Publisher: Springer
Release Date : 2020-07-06

Machine Learning In Finance written by Matthew F. Dixon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-06 with Business & Economics categories.


This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Advances And Trends In Artificial Intelligence Artificial Intelligence Practices


Advances And Trends In Artificial Intelligence Artificial Intelligence Practices
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Author : Hamido Fujita
language : en
Publisher: Springer Nature
Release Date :

Advances And Trends In Artificial Intelligence Artificial Intelligence Practices written by Hamido Fujita and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.