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Vladimir Cherkassky

Photograph of Professor Vladimir Cherkassky

Vladimir Cherkassky

Professor

Contact

[email protected]

6-111 Kenneth H. Keller Hall
200 Union Street Se
Minneapolis, MN 55455

Vladimir Cherkassky

Professor

Research
Biography
Publications & Awards

Research

My research interests include pattern recognition, statistical learning theory, and artificial neural networks. This is also known as predictive learning, where the goal is to estimate a good predictive model from available data. Predictive learning broadly overlaps with data mining, statistical estimation, signal processing, and artificial intelligence. I am interested in both theoretical foundations of statistical learning, and various practical applications.

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Biography

Education

Ph.D., 1985, University of Texas, Austin, TX, United States
M.S., 1976, Moscow Aviation Institute, Moscow, Russia

Professional Background

Statistical learning, data mining and neural network systems

Publications & Awards

Honors and Awards

2008 The A. Richard Newton Breakthrough Research Award from Microsoft Research
2007 Fellow of IEEE
1997, 1998 IBM Partnership Award

Books

Cherkassky, V. and F. Muller. “Learning from Data: Concepts, Theory, and Methods”. Wiley, (1998).

Selected Publications

Cherkassky, V. and Y. Ma. “Multiple Model Regression Estimation”. IEEE Transactions on Neural Networks, 16.4 (2005): 785-798.

Cherkassky, V. and S. Kilts. “Myopotential denoising of ECG signals using wavelet thresholding methods”. Neural Networks, 14 (2001): 1129-1137.

Department of Electrical and Computer Engineering

4-174 Keller Hall, 200 Union St. SE, Minneapolis MN 55455

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