Cognitive Computing: Theory and Applications

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. Comprehensively presents the various aspects of statistical methodology.Discusses a wide variety of diverse applications and recent developments.Contributors are internationally renowned experts in their respective areas INDICE: 1. Cognitive computing to manage renewable energy, the environment, and other scarce resources   Vincent Lonij 2. Machine learning models and algorithms with Intra- and Inter-cognitive computing for big data classification   Shan Suthaharan 3. Automatic Text Understanding 4. Cognitive Biometrics   Neeti Pokhriyal and Venu Govindaraju 5. Kernel Based Models for Transductive Learning and Cognitive Computing   Sounak Chakraborty 6. Cognitive Computing and Neural Networks   Anthony S. Maida 7. Graph Analytics in Cyber Security   Steven Noel 8. Deep Neural Network Architectures for Learning Semantic Associations Between Textual Narrative, Image and Video   Sambit Battacharya 9. Cognitive Computing Applications in Education and Learning  (not yet confirmed)   Mohammad Irfan 10. Visual Analytics in Cognitive Computing   Vijay Raghavan 11. Cognitive Computing: Models, Architectures, and Applications   Venkat Gudivada 12. Big Data Driven Speech Recognition   S. Jothilakshmi 13. Analytical Platforms to Study the Brain-Computer  Interface   Saumyadipta Pyne and Koel Das 14. IoT and Cognitive Computing   Florence DiStefano Hudson and Emily Nichols 15. Text Analytics and Insight Generation   Saurav Kumar

• ISBN: 978-0-444-63744-4
• Editorial: Elsevier
• Encuadernacion: Cartoné
• Páginas: 520
• Fecha Publicación: 01/09/2016
• Nº Volúmenes: 1
• Idioma: Inglés