From Wikipedia, the free encyclopedia

Jose C. Principe is an American Bioengineer, focusing in adaptive signal processing, kernel learning, information theoretic learning, [1] neural networks, brain machine interfaces and cognitive architectures, currently Distinguished Professor of Electrical and Biomedical Engineering and BellSouth Professor at University of Florida. [2] [3] [4]

References

  1. ^ Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives. Information Science and Statistics. link.springer.com. 2010. doi: 10.1007/978-1-4419-1570-2. ISBN  978-1-4419-1569-6. Retrieved 2019-12-07.
  2. ^ "Provost Independent Fora - Distinguished Professors/Curators". fora.aa.ufl.edu. Retrieved 2019-09-24.
  3. ^ "Dr. Jose C. Principe". www.cnel.ufl.edu. Retrieved 2019-09-24.
  4. ^ "jose principe - Google Scholar Citations". scholar.google.com. Retrieved 2019-09-24.


From Wikipedia, the free encyclopedia

Jose C. Principe is an American Bioengineer, focusing in adaptive signal processing, kernel learning, information theoretic learning, [1] neural networks, brain machine interfaces and cognitive architectures, currently Distinguished Professor of Electrical and Biomedical Engineering and BellSouth Professor at University of Florida. [2] [3] [4]

References

  1. ^ Information Theoretic Learning - Renyi's Entropy and Kernel Perspectives. Information Science and Statistics. link.springer.com. 2010. doi: 10.1007/978-1-4419-1570-2. ISBN  978-1-4419-1569-6. Retrieved 2019-12-07.
  2. ^ "Provost Independent Fora - Distinguished Professors/Curators". fora.aa.ufl.edu. Retrieved 2019-09-24.
  3. ^ "Dr. Jose C. Principe". www.cnel.ufl.edu. Retrieved 2019-09-24.
  4. ^ "jose principe - Google Scholar Citations". scholar.google.com. Retrieved 2019-09-24.



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