Cognitive Computing: Theory and Applications

✍ Scribed by Venkat N. Gudivada, Vijay V. Raghavan, Venu Govindaraju and C.R. Rao (Eds.)

• Publisher: North Holland
• Year: 2016
• Tongue: English
• Leaves: 381
• Series: Handbook of Statistics 35
• Edition: 1
• Category: Library

✦ Synopsis

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

✦ Table of Contents

Content:
Series Page Page ii
Copyright Page iv
Contributors Page xiii
Preface Pages xv-xx Venkat N. Gudivada, Vijay V. Raghavan, Venu Govindaraju, C.R. Rao
Chapter 1 - Cognitive Computing: Concepts, Architectures, Systems, and Applications Pages 3-38 V.N. Gudivada
Chapter 2 - Cognitive Computing and Neural Networks: Reverse Engineering the Brain Pages 39-78 A.S. Maida
Chapter 3 - Visual Analytic Decision-Making Environments for Large-Scale Time-Evolving Graphs Pages 81-115 S.R. Venna, R.N. Gottumukkala, V.V. Raghavan
Chapter 4 - CyGraph: Graph-Based Analytics and Visualization for Cybersecurity Pages 117-167 S. Noel, E. Harley, K.H. Tam, M. Limiero, M. Share
Chapter 5 - Cognitive Analytics: Going Beyond Big Data Analytics and Machine Learning Pages 169-205 V.N. Gudivada, M.T. Irfan, E. Fathi, D.L. Rao
Chapter 6 - A Cognitive Random Forest: An Intra- and Intercognitive Computing for Big Data Classification Under Cune Condition Pages 207-227 S. Suthaharan
Chapter 7 - Bayesian Additive Regression Tree for Seemingly Unrelated Regression with Automatic Tree Selection Pages 229-251 S. Chakraborty
Chapter 8 - Cognitive Systems for the Food–Water–Energy Nexus Pages 255-282 V.P.A. Lonij, J.-B. Fiot
Chapter 9 - Cognitive Computing Applications in Education and Learning Pages 283-300 M.T. Irfan, V.N. Gudivada
Chapter 10 - Large Scale Data Enabled Evolution of Spoken Language Research and Applications Pages 301-340 S. Jothilakshmi, V.N. Gudivada
Chapter 11 - The Internet of Things and Cognitive Computing Pages 341-373 F.D. Hudson, E.W. Nichols
Index Pages 375-384