Share on Facebook Tweet on Twitter Share on LinkedIn Share by email
Machine Learning and Artificial Intelligence

Automated reasoning and the applications of decision making


We pursue research on automated reasoning, adaptation, and the theories and applications of decision making and learning. Our research goals include learning from data and data mining. By building software that automatically learns from data, we design applications that have new functions and flexibility. Our research focuses on using statistical methods for the development of more advanced, intelligent computer systems.

Videos

Publications

James D. McCaffrey, Neural Networks with Simplex Optimization, in Visual Studio Magazine, 16 October 2014

Yu Zheng, Licia Capra, Ouri Wolfson, and Hai Yang, Urban Computing: Concepts, Methodologies, and Applications, in ACM Transaction on Intelligent Systems and Technology, ACM, October 2014

Börje F. Karlsson and Antonio L. Furtado, Conceptual Model and System for Genre-Focused Interactive Storytelling, in ICEC (International Conference on Entertainment Computing), Springer, October 2014

Li Deng and Dong Yu, Chapter 13: Recurrent Neural Networks and Related Models, in Automatic Speech Recognition --- A Deep Learning Approach, Springer, October 2014

Dong Yu and Li Deng, Automatic Speech Recognition - A Deep Learning Approach, Springer, October 2014

More publications ...