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Cognitive Computing: Theory and Applications: Handbook of Statistics, cartea 35

Autor Vijay V Raghavan, Venkat N. Gudivada, Venu Govindaraju, C. R. Rao
en Limba Engleză Hardback – 8 sep 2016
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
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Specificații

ISBN-13: 9780444637444
ISBN-10: 0444637443
Pagini: 404
Dimensiuni: 152 x 229 x 25 mm
Greutate: 0.98 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics


Public țintă

Statisticians and scientists in various disciplines who use statistical methodology in their work.

Cuprins

A. Fundamentals and Principles1. Cognitive Computing: Concepts, Architectures, Systems and ApplicationsVenkat N Gudivada2. Cognitive Computing and Neural Networks: Reverse Engineering the BrainAnthony S. Maida
B. Complex Analytics and Machine Learning 3. Visual Analytic Decision Making Environments for Large-Scale Time Evolving Graphs Siva R. Venna, Raju N. Gottumukkala and Vijay V. Raghavan 4. CyGraph: Graph-Based Analytics and Visualization for Cybersecurity Steven Noel, Eric Harley, Kam Him Tam, Michael Limiero and Matthew Share 5. Cognitive Analytics: Going Beyond Big Data Analytics and Machine LearningVenkat N Gudivada, Mohammad T. Irfan, Ehsan Fathi and Dhana L Rao6. A Cognitive Random Forest: An Intra- and Inter-Cognitive Computing for Big Data Classification Under Cune-ConditionShan Suthaharan7. Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection Sounak Chakraborty
C. Applications8. Cognitive Systems for the Food-Water-Energy Nexus Vincent P. A. Lonij and Jean-Baptiste Fiot9. Cognitive Computing Applications in Education and LearningMohammad T. Irfan and Venkat N Gudivada10. Large Scale Data Enabled Evolution of Spoken Language Research and ApplicationsS. Jothilakshmi and Venkat N Gudivada11. The Internet of Things and Cognitive ComputingFlorence D. Hudson