Cognitive computing : theory and applications /
Cognitive computing : theory and applications /
edited by Venkat N. Gudivada, East Carolina University, Greenville, NC, United States [and three others].
- xx, 384 pages : illustrations ; 24 cm.
- Handbook of statistics, Volume 35 0169-7161 ; .
- Handbook of statistics (Amsterdam, Netherlands) ; v. 35. .
Includes bibliographical references and index.
Section A: Fundamentals and Principles -- Chapter 1: Cognitive Computing: Concepts, Architectures, Systems, and Applications -- Chapter 2: Cognitive Computing and Neural Networks: Reverse Engineering the Brain -- Section B: Complex Analytics and Machine Learning -- 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 -- Section C: Applications -- 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.
9780444637444 0444637443
2017302809
GBB6C7217 bnb
Artificial intelligence.
Artificial intelligence.
Q335 / .C534 2016
006.3
Includes bibliographical references and index.
Section A: Fundamentals and Principles -- Chapter 1: Cognitive Computing: Concepts, Architectures, Systems, and Applications -- Chapter 2: Cognitive Computing and Neural Networks: Reverse Engineering the Brain -- Section B: Complex Analytics and Machine Learning -- 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 -- Section C: Applications -- 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.
9780444637444 0444637443
2017302809
GBB6C7217 bnb
Artificial intelligence.
Artificial intelligence.
Q335 / .C534 2016
006.3