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Hava T. Siegelmann: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ophir Frieder, Hava T. Siegelmann
    On the Allocation of Documents in Multiprocessor Information Retrieval Systems. [Citation Graph (2, 0)][DBLP]
    SIGIR, 1991, pp:230-239 [Conf]
  2. Hava T. Siegelmann, Ophir Frieder
    Document Allocation In Multiprocessor Information Retrieval Systems. [Citation Graph (1, 0)][DBLP]
    , 1993, v:, n:, pp:289-310 [Journal]
  3. Hava T. Siegelmann
    Neural Programming Language. [Citation Graph (0, 0)][DBLP]
    AAAI, 1994, pp:877-882 [Conf]
  4. José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag
    Some Structural Complexity Aspects of Neural Computation. [Citation Graph (0, 0)][DBLP]
    Structure in Complexity Theory Conference, 1993, pp:253-265 [Conf]
  5. Bhaskar DasGupta, Hava T. Siegelmann, Eduardo D. Sontag
    On a Learnability Question Associated to Neural Networks with Continuous Activations (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1994, pp:47-56 [Conf]
  6. Joe Kilian, Hava T. Siegelmann
    On the Power of Sigmoid Neural Networks. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:137-143 [Conf]
  7. Hava T. Siegelmann, Eduardo D. Sontag
    On the Computational Power of Neural Nets. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:440-449 [Conf]
  8. João Pedro Guerreiro Neto, Hava T. Siegelmann, José Félix Costa, Carmen Paz Suárez Araujo
    Turing Universality of Neural Nets (Revisited). [Citation Graph (0, 0)][DBLP]
    EUROCAST, 1997, pp:361-366 [Conf]
  9. Hod Lipson, Hava T. Siegelmann
    High Order Eigentensors as Symbolic Rules in Competitive Learning. [Citation Graph (0, 0)][DBLP]
    Hybrid Neural Systems, 1998, pp:286-297 [Conf]
  10. Hava T. Siegelmann
    On The Computational Power of Probabilistic and Faulty Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICALP, 1994, pp:23-34 [Conf]
  11. Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik
    A Support Vector Clustering Method. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2724-2727 [Conf]
  12. Hava T. Siegelmann, Eduardo D. Sontag, C. Lee Giles
    The Complexity of Language Recognition by Neural Networks. [Citation Graph (0, 0)][DBLP]
    IFIP Congress (1), 1992, pp:329-335 [Conf]
  13. Megan Olsen, Hava Siegelmann
    Multi-Agent System that Attains Longevity via Death. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1428-1433 [Conf]
  14. AnYuan Guo, Hava T. Siegelmann
    Time-Warped Longest Common Subsequence Algorithm for Music Retrieval. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2004, pp:- [Conf]
  15. Hava T. Siegelmann, Eduardo D. Sontag
    Analog Computation Via Neural Networks. [Citation Graph (0, 0)][DBLP]
    ISTCS, 1993, pp:98-107 [Conf]
  16. Pedro Rodrigues, José Félix Costa, Hava T. Siegelmann
    Verifying Properties of Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:158-165 [Conf]
  17. Asa Ben-Hur, Hava T. Siegelmann
    Computation in Gene Networks. [Citation Graph (0, 0)][DBLP]
    MCU, 2001, pp:11-24 [Conf]
  18. Hava T. Siegelmann, Asa Ben-Hur, Shmuel Fishman
    A Theory of Complexity for Continuous Time Dynamics. [Citation Graph (0, 0)][DBLP]
    MCU (1), 1998, pp:179-203 [Conf]
  19. Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
    A Support Vector Method for Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:367-373 [Conf]
  20. Tommi Jaakkola, Hava T. Siegelmann
    Active Information Retrieval. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:777-784 [Conf]
  21. Daniel H. Lange, Hava T. Siegelmann, Hillel Pratt, Gideon F. Inbar
    A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  22. Hava T. Siegelmann, Alexander Roitershtein, Asa Ben-Hur
    Noisy Neural Networks and Generalizations. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:335-341 [Conf]
  23. Hava T. Siegelmann
    Neural Dynamics with Stochasticity. [Citation Graph (0, 0)][DBLP]
    Summer School on Neural Networks, 1997, pp:346-369 [Conf]
  24. Bill G. Horne, Hava T. Siegelmann, C. Lee Giles
    What NARX Networks Can Compute. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1995, pp:95-102 [Conf]
  25. Hava T. Siegelmann
    Welcoming the Super Turing Theories. [Citation Graph (0, 0)][DBLP]
    SOFSEM, 1995, pp:83-94 [Conf]
  26. Hava T. Siegelmann, Asa Ben-Hur
    Macroscopical Molecular Computation with Gene Networks. [Citation Graph (0, 0)][DBLP]
    UMC, 2000, pp:119-120 [Conf]
  27. Hava T. Siegelmann, B. R. Badrinath
    Integrating Implicit Answers with Object-Oriented Queries. [Citation Graph (0, 12)][DBLP]
    VLDB, 1991, pp:15-24 [Conf]
  28. Hava T. Siegelmann
    Recurrent Neural Networks and Finite Automata. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1996, v:12, n:, pp:567-574 [Journal]
  29. Asa Ben-Hur, Joshua Feinberg, Shmuel Fishman, Hava T. Siegelmann
    Probabilistic analysis of a differential equation for linear programming [Citation Graph (0, 0)][DBLP]
    CoRR, 2001, v:0, n:, pp:- [Journal]
  30. Asa Ben-Hur, Alexander Roitershtein, Hava T. Siegelmann
    On probabilistic analog automata [Citation Graph (0, 0)][DBLP]
    CoRR, 2003, v:0, n:, pp:- [Journal]
  31. Hava T. Siegelmann
    Neural Computing. [Citation Graph (0, 0)][DBLP]
    Bulletin of the EATCS, 2001, v:73, n:, pp:107-130 [Journal]
  32. Joe Kilian, Hava T. Siegelmann
    The Dynamic Universality of Sigmoidal Neural Networks. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1996, v:128, n:1, pp:48-56 [Journal]
  33. Hava T. Siegelmann, C. Lee Giles
    The complexity of language recognition by neural networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:15, n:3-4, pp:327-345 [Journal]
  34. Oscar Loureiro, Hava T. Siegelmann
    Introducing an active cluster-based information retrieval paradigm. [Citation Graph (0, 0)][DBLP]
    JASIST, 2005, v:56, n:10, pp:1024-1030 [Journal]
  35. João Pedro Guerreiro Neto, Hava T. Siegelmann, José Félix Costa
    Symbolic Processing in Neural Networks. [Citation Graph (0, 0)][DBLP]
    J. Braz. Comp. Soc., 2003, v:8, n:3, pp:58-0 [Journal]
  36. Asa Ben-Hur, Joshua Feinberg, Shmuel Fishman, Hava T. Siegelmann
    Probabilistic analysis of a differential equation for linear programming. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 2003, v:19, n:4, pp:474-510 [Journal]
  37. Asa Ben-Hur, Hava T. Siegelmann, Shmuel Fishman
    A Theory of Complexity for Continuous Time Systems. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 2002, v:18, n:1, pp:51-86 [Journal]
  38. Hava T. Siegelmann
    Stochastic Analog Networks and Computational Complexity. [Citation Graph (0, 0)][DBLP]
    J. Complexity, 1999, v:15, n:4, pp:451-475 [Journal]
  39. Hava T. Siegelmann, Eduardo D. Sontag
    On the Computational Power of Neural Nets. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:50, n:1, pp:132-150 [Journal]
  40. Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
    Support Vector Clustering. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:125-137 [Journal]
  41. Ricard Gavaldà, Hava T. Siegelmann
    Discontinuities in Recurrent Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:3, pp:715-745 [Journal]
  42. Hod Lipson, Hava T. Siegelmann
    Clustering Irregular Shapes Using High-Order Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:10, pp:2331-2353 [Journal]
  43. Hava T. Siegelmann, Maurice Margenstern
    Nine switch-affine neurons suffice for Turing universality. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:4-5, pp:593-600 [Journal]
  44. Asa Ben-Hur, Alexander Roitershtein, Hava T. Siegelmann
    On probabilistic analog automata. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2004, v:320, n:2-3, pp:449-464 [Journal]
  45. Hava T. Siegelmann
    The Simple Dynamics of Super Turing Theories. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1996, v:168, n:2, pp:461-472 [Journal]
  46. Hava T. Siegelmann, Eduardo D. Sontag
    Analog Computation via Neural Networks. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 1994, v:131, n:2, pp:331-360 [Journal]
  47. José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann
    Computational power of neural networks: a characterization in terms of Kolmogorov complexity. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1997, v:43, n:4, pp:1175-1183 [Journal]
  48. Ophir Frieder, Hava T. Siegelmann
    Multiprocessor Document Allocation: A Genetic Algorithm Approach. [Citation Graph (0, 9)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1997, v:9, n:4, pp:640-642 [Journal]
  49. Hava T. Siegelmann, Bill G. Horne, C. Lee Giles
    Computational capabilities of recurrent NARX neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1997, v:27, n:2, pp:208-215 [Journal]

  50. Attractor systems and analog computation. [Citation Graph (, )][DBLP]


  51. Identification and control of intrinsic bias in a multiscale computational model of drug addiction. [Citation Graph (, )][DBLP]


  52. Adaptive Multi-modal Sensors. [Citation Graph (, )][DBLP]


  53. Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior. [Citation Graph (, )][DBLP]


  54. Robust artificial life via artificial programmed death. [Citation Graph (, )][DBLP]


  55. The Self-Construction and -Repair of a Foraging Organism by Explicitly Specified Development from a Single Cell. [Citation Graph (, )][DBLP]


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