Book Chapters (2007 and earlier)

Type Author Title Publication Information Date Pages/Volume/Issue Links
Cpt K.I. Harrington and H.T. Siegelmann Adaptive Multi-modal Sensors 50 Years of Artificial Intelligence, eds. M. Lungarella, F. Iida, J. Bongard, R. Pfeifer 2007 164-173 pdf
Cpt Bhaskar DasGupta, Derong Liu and Hava Siegelmann Neural Networks Handbook on Approximation Algorithms and Metaheuristics, ed. Teofilo F. Gonzalez, Chapman & Hall/CRC (Computer & Information Science Series, ed. Sartaj Sahni) 2007 22.1-22.14 -
Cpt H. T. Siegelmann Neural Computing New Trends in Computer Science, ed. Gheroge Paul 2003 - -
Cpt H.T. Siegelmann Neural Automata and Computational Complexity in Handbook of Brain Theory and Neural Networks, ed. Michael A. Arbib 2002 - -
Cpt H.T. Siegelmann Universal Computation and Super-Turing Capabilities Field Guide to Dynamical Recurrent Networks, eds. S.C. Kremer and J.F. Kolen, IEEE Press 2000 - -
Cpt H.T. Siegelmann Finite vs. Infinite Descriptive Length in Neural Networks and the Associated Computational Complexity Finite vs. Infinite: Contributions to an Eternal Dilemma, eds. C. Calude and Gh. Paun, Springer Verlag 2000 - -
Cpt H.T. Siegelmann Neural Automata and Computational Complexity Handbook of Brain Theory and Neural Networks, ed. Michael A. Arbib 2000 - -
Cpt H. Lipson and H.T. Siegelmann High Order Eigentensors as Symbolic Rules in Competitive Learning Hybrid Neural Symbolic Integration, eds. S. Wermter and R. Sun, Springer 1999 - -
Cpt H.T. Siegelmann Neural Dynamics with Stochasticity Adaptive Processing of Sequences and Data Structures, eds. C.L. Giles and M. Gori, Springer 1998 346-369 pdf
Cpt H.T. Siegelmann Computability with Neural Networks Lectures in Applied Mathematics, Vol. 32, J. Reneger, eds. M. Shub, and S. Smale, American Mathematical Society 1996 733-747 -
Cpt H.T. Siegelmann Neural Automata Shape, Structures and Pattern Recognition, eds. D. Dori and F. Bruckstein, World Scientific 1995 - -
Cpt H.T. Siegelmann Towards a Neural Programming Language Shape, Structures and Pattern Recognition, eds. D. Dori and F. Bruckstein, World Scientific 1995 - -
Cpt H.T. Siegelmann Recurrent Neural Networks The 1000th Volume of Lecture Notes in Computer Science: Computer Science Today, ed. Jan Van Leeuwen, Springer Verlag 1995 29-45 -
Cpt H.T. Siegelmann Welcoming the Super-Turing theories Lecture Notes in Computer Science, Vol. 1012, eds. M. Bartosek, J. Staudek, J. Wiedermann, Springer Verlag 1995 83-94 -
Cpt H.T. Siegelmann, B.G. Horne, and C.L. Giles What NARX Networks Can Compute Lecture Notes in Computer Science: Theory and Practice of Informatics, Vol. 1012, eds. M. Bartosek, J. Staudek, J. Wiedermann, Springer Verlag 1995 95-102 -
Cpt B. DasGupta, H.T. Siegelmann, and E. Sontag On the Intractability of Loading Neural Networks Theoretical Advances in Neural Computation and Learning, eds. V.P. Roychowdhury, K.Y. Siu, and A. Orlitsky, Kluwer Academic Publishers 1994 - -
Cpt H.T. Siegelmann On the Computational Power of Probabilistic and Faulty Neural Networks Lecture Notes in Computer Science, Vol. 820: Automata, Languages and Programming, eds. S. Abiteboul and E. Shamir, Springer Verlag 1994 20-34 -
Cpt H.T. Siegelmann and O. Frieder Document Allocation in Multiprocessor Information Retrieval Systems Lecture Notes in Computer Science, Vol. 759: Advanced Database Concepts and Research Issues, eds. N.R. Adam and B. Bhargava, Springer Verlag 1993 289-310 -





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