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Hava Siegelmann

Index Hava Siegelmann

Hava Siegelmann is a professor of computer science, and a world leader in the fields of Lifelong Learning, Artificial Intelligence, Machine Learning, Neural Networks, and Computational Neuroscience. [1]

10 relations: Computer science, Dynamical system, Eduardo D. Sontag, Hypercomputation, Neural network, Rutgers University, Science (journal), Universal Turing machine, University of Massachusetts Amherst, Vladimir Vapnik.

Computer science

Computer science deals with the theoretical foundations of information and computation, together with practical techniques for the implementation and application of these foundations.

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Dynamical system

In mathematics, a dynamical system is a system in which a function describes the time dependence of a point in a geometrical space.

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Eduardo D. Sontag

Eduardo Daniel Sontag (born 1951 in Buenos Aires, Argentina) is an American mathematician, and Professor at the Rutgers University, who works in the field of systems biology and control theory and engineering.

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Hypercomputation

Hypercomputation or super-Turing computation refers to models of computation that can provide outputs that are not Turing computable.

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Neural network

The term neural network was traditionally used to refer to a network or circuit of neurons.

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Rutgers University

Rutgers, The State University of New Jersey, commonly referred to as Rutgers University, Rutgers, or RU, is an American public research university and is the largest institution of higher education in New Jersey.

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Science (journal)

Science, also widely referred to as Science Magazine, is the peer-reviewed academic journal of the American Association for the Advancement of Science (AAAS) and one of the world's top academic journals.

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Universal Turing machine

In computer science, a universal Turing machine (UTM) is a Turing machine that can simulate an arbitrary Turing machine on arbitrary input.

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University of Massachusetts Amherst

The University of Massachusetts Amherst (abbreviated UMass Amherst and colloquially referred to as UMass or Massachusetts) is a public research and land-grant university in Amherst, Massachusetts, United States, and the flagship campus of the University of Massachusetts system.

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Vladimir Vapnik

Vladimir Naumovich Vapnik (Владимир Наумович Вапник; born 6 December 1936) is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning, and the co-inventor of the support vector machine method, and support vector clustering algorithm.

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References

[1] https://en.wikipedia.org/wiki/Hava_Siegelmann

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