- Hava Siegelmann
- Support vector machine
- Real computation
- Hypercomputation
- Vladimir Vapnik
- John Lucas (philosopher)
- Timeline of machine learning
- David Horn (Israeli physicist)
- Eduardo D. Sontag
- Index of women scientists articles
hava siegelmann
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Hava Siegelmann is an American computer scientist and Provost Professor at the University of Massachusetts Amherst.
Biography
Siegelmann earned her Ph.D. in Computer Science at Rutgers University (1993) under Eduardo Sontag. Her dissertation was on the topic of Hypercomputation. She earned an M.Sc. in Computer Science at Hebrew University (1992) and a B.A. in Computer Science at the Technion (1988).
Siegelmann was a program manager of several DARPA AI programs including Lifelong Learning Machines, Guaranteeing AI Robustness Against Deception, and Cooperative Secure Learning. DARPA/DoD awarded her with the Meritorious Public Service Medal for her research and leadership.
Selected publications
Ben-Hur, A.; Horn, D.; Siegelmann, H.T.; Vapnik, V. (2001). "Support vector clustering". Journal of Machine Learning Research. 2: 125–137.
Siegelmann, H.T. (1995). "Computation Beyond the Turing Limit". Science. 238 (28): 632–637. Bibcode:1995Sci...268..545S. doi:10.1126/science.268.5210.545. PMID 17756722. S2CID 17495161.
Siegelmann, Hava T. (1999). Neural networks and analog computation: beyond the Turing limit. Boston, Mass.: Birkhäuser. ISBN 0-8176-3949-7. OCLC 39485184.
Siegelmann, H.T.; Ben-Hur, A.; Fishman, S. (1999). "Computational Complexity for Continuous Time Dynamics". Physical Review Letters. 83 (7): 1463–1466. Bibcode:1999PhRvL..83.1463S. doi:10.1103/physrevlett.83.1463.