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Présentation Cognitive Computing: Theory And Applications de Collectif
- Livre Philosophie
Résumé : 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.
Biographie: 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
Sommaire: Prof Raghavan also serves as the Director of the NSF-sponsored Industry/ University Cooperative Research Center for Visual and Decision Informatics. In this role, he co-ordinates several multi-institutional, industry-driven research projects and manages a budget of over $500K/year. From 1997 to 2003, he led a $2.3M research and development project in close collaboration with the USGS National Wetlands Research Center and with the Department of Energy's Office of Science and Technical Information on creating a digital library with data mining capabilities incorporated. His research interests are in Big Data, data mining, information retrieval, machine learning and Internet computing. He has published over 250 peer-reviewed research papers --appearing in top-level journals and proceedings - that cumulatively accord him an h-index of 31, based on citations. He has served as major advisor for 24 doctoral students and has garnered $10 million in external funding. Besides substantial technical expertise, Dr. Raghavan has vast experience managing interdisciplinary and multi- institutional collaborative projects. He has also directed industry-sponsored research, for companies such as GE Healthcare and Araicom Life Sciences L.L.C., on projects pertaining to Neuro-imaging based dementia detection and literature-based biomedical hypotheses generation, respectively....
Vijay V. Raghavan, Alfred and Helen Lamson Endowed Professor in Computer Science, The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, USA.
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