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Artificial Intelligence

  • Emerging Trends in Neuro Engineering and Neural Computationby Asim Bhatti; Kendall H. Lee; Hamid Garmestani; Chee Peng Lim

    Springer Singapore 2017; US$ 145.48

    This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel... more...

  • Fundamentals of Linear Controlby Maurício C. de Oliveira

    Cambridge University Press 2017; US$ 80.00

    The must-have textbook introducing the analysis and design of feedback control systems in less than 400 pages. more...

  • Deep Learning with Kerasby Antonio Gulli; Sujit Pal

    Packt Publishing 2017; US$ 39.99

    Get to grips with the basics of Keras to implement fast and efficient deep-learning models About This Book Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games See how various deep-learning models and practical use-cases can be implemented using Keras A practical, hands-on guide with real-world... more...

  • Automatic Text Simplificationby Horacio Saggion; Graeme Hirst

    Morgan & Claypool Publishers 2017; US$ 40.95

    Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. However, the way in which a text is written?its vocabulary, its syntax?can be difficult to read and understand for many people, especially those with poor literacy, cognitive or linguistic impairment, or... more...

  • Effective Amazon Machine Learningby Alexis Perrier

    Packt Publishing 2017; US$ 39.99

    Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book Create great machine learning models that combine the power of algorithms with interactive tools without worrying about the underlying complexity Learn the What's next? of machine learning?machine learning on the cloud?with this unique guide Create... more...

  • Time-Series Prediction and Applicationsby Amit Konar; Diptendu Bhattacharya

    Springer International Publishing 2017; US$ 111.91

    This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a given time point from its preceding value in fluctuating... more...

  • Metaheuristics for Medicine and Biologyby Amir Nakib; El-Ghazali Talbi

    Springer Berlin Heidelberg 2017; US$ 111.91

    This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted... more...

  • Multi-Objective Decision Makingby Diederik M. Roijers; Shimon Whiteson; Ronald Brachman; Peter Stone

    Morgan & Claypool Publishers 2017; US$ 32.95

    Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects. These objectives typically conflict, e.g., we can often increase the efficacy of the treatment, but at the cost of more severe side effects. In this... more...

  • Semantic Data Miningby A. Lawrynowicz

    IOS Press 2017; Not Available

    Ontologies are now increasingly used to integrate, and organize data and knowledge, particularly in data and knowledge-intensive applications in both research and industry.The book is devoted to semantic data mining ? a data mining approach where domain ontologies are used as background knowledge, and where the new challenge is to mine knowledge encoded... more...

  • Neural Network Methods in Natural Language Processingby Yoav Goldberg; Graeme Hirst

    Morgan & Claypool Publishers 2017; US$ 59.95

    Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and... more...