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Learning Microsoft Cognitive Services

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Learn to build interactive and efficient applications by leveraging 24 effective cognitive services APIs powered by MicrosoftKey Features\[\*\] Explore the capabilities of 24 of the APIs released as part of the Cognitive Services platform\[\*\] Build intelligent apps that combine the power of computer vision, speech recognition, and language processing\[\*\] Give your apps human-like cognitive
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Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow)
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Computer Vision – ECCV 2024 Workshops

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Series Book 1 - Springer Nature Proceedings Computer Science
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Edited by Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi ...

Series Book 17 - Springer Nature Proceedings Computer Science
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Deformable Registration Techniques for Thoracic CT Images

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The AI Revolution- Leveraging Artificial Intelligence

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Computational Science – ICCS 2020

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Series Book 3 - Springer Nature Proceedings Computer Science
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Series series Springer Nature Proceedings Computer Science
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Series Book 6 - Springer Nature Proceedings Computer Science
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Time-aware Conversion Prediction For E-commerce

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Series Book 7 - East China Normal University Scientific Reports
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This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to
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MultiMedia Modeling

23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II

Edited by Laurent Amsaleg, Gylfi Þór Guðmundsson, Cathal Gurrin, Björn Þór Jónsson, Shin’ichi Satoh ...

Series Book 2 - Springer Nature Proceedings Computer Science
The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017.Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for ... Read more

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The two-volume set LNCS 10132 and 10133 constitutes the thoroughly refereed proceedings of the 23rd International Conference on Multimedia Modeling, MMM 2017, held in Reykjavik, Iceland, in January 2017.Of the 149 full papers submitted, 36 were selected for oral presentation and 33 for poster presentation; of the 34 special session papers submitted, 24 were selected for oral presentation and 2 for
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R3 in Geomatics: Research, Results and Review

First International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019, Naples, Italy, October 10–11, 2019, Revised Selected Papers

Edited by Claudio Parente, Salvatore Troisi, Antonio Vettore ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the First International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019, held in Naples, Italy*, in October 2019.The 27 full papers along with the 2 short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on: GNSS and ... Read more

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This book constitutes the refereed proceedings of the First International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019, held in Naples, Italy*, in October 2019.The 27 full papers along with the 2 short papers presented were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on: GNSS and
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Algorithms and Architectures for Parallel Processing

25th International Conference, ICA3PP 2025, Zhengzhou, China, October 30–November 2, 2025, Proceedings, Part III

Edited by Huazhong Liu, Shadi Ibrahim, Thomas Rauber ...

Series Book 3 - Springer Nature Proceedings Computer Science
The eight volume set, LNCS 16381-16388 constitutes the refereed proceedings of the 25th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2025, held in Zhengzhou, China, during October 30 -November 2, 2025.The 158 full papers, 104 research papers and 48 session papers included in these proceedings were carefully reviewed and selected from 543 submissions. ... Read more

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The eight volume set, LNCS 16381-16388 constitutes the refereed proceedings of the 25th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2025, held in Zhengzhou, China, during October 30 -November 2, 2025.The 158 full papers, 104 research papers and 48 session papers included in these proceedings were carefully reviewed and selected from 543 submissions.
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Progress in Artificial Intelligence

19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part I

Edited by Paulo Moura Oliveira, Paulo Novais, Luís Paulo Reis ...

Series Book 1 - Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019, held in Funchal, Madeira, Portugal, in September 2019.The 119 revised full papers and 6 short papers presented were carefully reviewed and selected from a total of 252 submissions. The papers are organized in 18 tracks devoted to the following topics: AIEd - Artificial Intelligence in ... Read more

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This book constitutes the refereed proceedings of the 19th EPIA Conference on Artificial Intelligence, EPIA 2019, held in Funchal, Madeira, Portugal, in September 2019.The 119 revised full papers and 6 short papers presented were carefully reviewed and selected from a total of 252 submissions. The papers are organized in 18 tracks devoted to the following topics: AIEd - Artificial Intelligence in
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Selected Topics in Image Science

Edited by O. Nalcioglu, Z.-H. Cho ...

Series series Medicine (R0)
The continuing growth of computed tomography (CT) and other imaging techniques motivated us to bring together a comprehensive review of the state of the art in diagnostic imaging. Twelve years after the first appearance of x-ray CT, computerized diagnostic imaging has grown so rapidly in sophistication that it is difficult to follow current developments in this diversified field. In this book, we ... Read more

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The continuing growth of computed tomography (CT) and other imaging techniques motivated us to bring together a comprehensive review of the state of the art in diagnostic imaging. Twelve years after the first appearance of x-ray CT, computerized diagnostic imaging has grown so rapidly in sophistication that it is difficult to follow current developments in this diversified field. In this book, we
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Deep Biometrics

Edited by Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger ...

Series series Engineering (R0)
This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate ... Read more

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This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate
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Intelligent Data Engineering and Automated Learning – IDEAL 2016

17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings

Edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging ... Read more

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This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging
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Artificial Intelligence

1, #114

by Stephen K. Marchant, Stephen Kolarin ...

Series Book 114 - 1
Thousands of years ago, Western, Indian, Chinese, and Greek philosophers proposed making machines and computers smarter. These philosophers attempted to characterize human thought as a symbolic system.Their efforts saw some light when, in the 1940s, their line of thought led to the discovery of a machine based on the intellectual principle of mathematical reasoning. The programmable digital ... Read more

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Thousands of years ago, Western, Indian, Chinese, and Greek philosophers proposed making machines and computers smarter. These philosophers attempted to characterize human thought as a symbolic system.Their efforts saw some light when, in the 1940s, their line of thought led to the discovery of a machine based on the intellectual principle of mathematical reasoning. The programmable digital
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Machine Learning Paradigms

Applications in Recommender Systems

by Aristomenis S. Lampropoulos, George A. Tsihrintzis ...

Series series Engineering (R0)
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the ... Read more

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This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in the
... Read more

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Ключ К Форекс

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Progress in Artificial Intelligence

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Artificial Intelligence

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