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Hilbert J. Kappen: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
    Accelerated Learning in Boltzmann Machines Using Mean Field Theory. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:301-306 [Conf]
  2. Hilbert J. Kappen, Pablo Varona
    Dynamic Feature Linking in Stochastic Networks with Short Range Interactions. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:101-106 [Conf]
  3. Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner
    Linkage Analysis: A Bayesian Approach. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:595-600 [Conf]
  4. Marcel J. Nijman, Hilbert J. Kappen
    Efficient Learning in Sparsely Connected Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:41-46 [Conf]
  5. David M. J. Tax, Hilbert J. Kappen
    Learning Structure with Many-Take-All Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:95-100 [Conf]
  6. Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
    Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  7. Hilbert J. Kappen, Wim Wiegerinck
    Second Order Approximations for Probability Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:238-244 [Conf]
  8. Hilbert J. Kappen, Wim Wiegerinck
    Novel iteration schemes for the Cluster Variation Method. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:415-422 [Conf]
  9. Martijn A. R. Leisink, Hilbert J. Kappen
    A Tighter Bound for Graphical Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:266-272 [Conf]
  10. Joris M. Mooij, Hilbert J. Kappen
    Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  11. Martijn A. R. Leisink, Hilbert J. Kappen
    General Lower Bounds based on Computer Generated Higher Order Expansions. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:293-300 [Conf]
  12. Marcel J. Nijman, Hilbert J. Kappen
    Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1997, v:8, n:3, pp:301-315 [Journal]
  13. Hilbert J. Kappen, C. Gielen
    Neurocomputing research in The Netherlands. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1990, v:2, n:1, pp:35-38 [Journal]
  14. Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen
    On the role of dynamical synapses in coincidence detection. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:285-291 [Journal]
  15. Martijn A. R. Leisink, Hilbert J. Kappen
    Bound Propagation. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2003, v:19, n:, pp:139-154 [Journal]
  16. Shotaro Akaho, Hilbert J. Kappen
    Nonmonotonic Generalization Bias of Gaussian Mixture Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:6, pp:1411-1427 [Journal]
  17. Jesús M. Cortés, Joaquín J. Torres, Joaquín Marro, P. L. Garrido, Hilbert J. Kappen
    Effects of Fast Presynaptic Noise in Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:3, pp:614-633 [Journal]
  18. Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
    Efficient Learning in Boltzmann Machines Using Linear Response Theory. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:5, pp:1137-1156 [Journal]
  19. Martijn A. R. Leisink, Hilbert J. Kappen
    A Tighter Bound for Graphical Models. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:9, pp:2149-2171 [Journal]
  20. Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen
    Associative Memory with Dynamic Synapses. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:12, pp:2903-2923 [Journal]
  21. Hilbert J. Kappen
    Deterministic learning rules for boltzmann machines. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:4, pp:537-548 [Journal]
  22. Martijn A. R. Leisink, Hilbert J. Kappen
    Learning in higher order Boltzmann machines using linear response. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:3, pp:329-335 [Journal]
  23. Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz
    Mean field approach to learning in Boltzmann Machine. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1317-1322 [Journal]
  24. Wim Wiegerinck, Hilbert J. Kappen, E. W. M. T. ter Braak, W. J. P. P. ter Burg, Marcel J. Nijman, Y. L. O, Jan P. Neijt
    Approximate inference for medical diagnosis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1231-1239 [Journal]
  25. Bastian Wemmenhove, Joris M. Mooij, Wim Wiegerinck, Martijn A. R. Leisink, Hilbert J. Kappen, Jan P. Neijt
    Inference in the Promedas Medical Expert System. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:456-460 [Conf]
  26. Joris M. Mooij, Hilbert J. Kappen
    Sufficient Conditions for Convergence of Loopy Belief Propagation. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:396-403 [Conf]
  27. Vicenc Gomez, J. M. Mooij, H. J. Kappen
    Truncating the loop series expansion for Belief Propagation [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  28. Joris M. Mooij, Hilbert J. Kappen
    Sufficient conditions for convergence of the Sum-Product Algorithm [Citation Graph (0, 0)][DBLP]
    CoRR, 2005, v:0, n:, pp:- [Journal]
  29. T. Rizzo, Bastian Wemmenhove, Hilbert J. Kappen
    On Cavity Approximations for Graphical Models [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  30. Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen
    Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:2022-2025 [Journal]

  31. Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise. [Citation Graph (, )][DBLP]


  32. Self-organization using synaptic plasticity. [Citation Graph (, )][DBLP]


  33. Bounds on marginal probability distributions. [Citation Graph (, )][DBLP]


  34. The Cluster Variation Method for Efficient Linkage Analysis on Extended Pedigrees. [Citation Graph (, )][DBLP]


  35. Approximate inference on planar graphs using Loop Calculus and Belief Propagation [Citation Graph (, )][DBLP]


  36. Dynamic Policy Programming [Citation Graph (, )][DBLP]


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