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Santosh
S. Venkatesh, Ph.D.
Assoc. Professor,
Dept of Electrical Engineering
Moore School of Engineering and Applied Science
374 Moore Building/639
(215) 898-9493 FAX: (215) 898-1130
email: venkatesh@pender.ee.upenn.edu
Click here for selected publications since Dr. Venkatesh's arrival at Penn
RESEARCH INTERESTS
Neural networks; statistical pattern recognition; computational learning theory; information and complexity theoryRESEARCH TECHNIQUES
Probability theory; combinatorial geometry; large deviations; graph theoryRESEARCH SUMMARY
Formal mathematical models of neural networks are a powerful (and relatively new) computational paradigm. Characteristic features of this paradigm are the evolution of complex computation from the collective interaction of relatively simple processing elements and the ability to learn tasks from examples. Of particular interest to us are the characterisation of computations that can be carried out by specific families of tasks, and the information theoretic characterisation of tasks that can be learned by fixed neural structures. Application areas include pattern recognition, optimisation, control and regression.
