Handbook of Statistics Vol. 35 Cognitive Computing: Theory and Applications

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Handbook of Statistics Vol. 35 Cognitive Computing: Theory and Applications

Edited by Venkat N. Gudivada, Vijay V. Raghavan, Venu Govindaraju, C.R. Rao
Volume 35,
Pages 2-384 (2016)

Chapter 1 - Cognitive Computing: Concepts, Architectures, Systems, and Applications
Chapter 2 - Cognitive Computing and Neural Networks: Reverse Engineering the Brain
Chapter 3 - Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs
Chapter 4 - CyGraph: Graph-Based Analytics and Visualization for Cybersecurity
Chapter 5 - Cognitive Analytics: Going Beyond Big Data Analytics and Machine Learning
Chapter 6 - A Cognitive Random Forest: An Intra- and Intercognitive Computing for Big Data Classification Under Cune Condition
Chapter 7 - Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection
Chapter 8 - Cognitive Systems for the Food–Water–Energy Nexus
Chapter 9 - Cognitive Computing Applications in Education and Learning
Chapter 10 - Large Scale Data Enabled Evolution of Spoken Language Research and Applications
Chapter 11 - The Internet of Things and Cognitive Computing
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