2009 |
36 | EE | Vicenç Gómez,
Hilbert J. Kappen,
M. Chertkov:
Approximate inference on planar graphs using Loop Calculus and Belief Propagation
CoRR abs/0901.0786: (2009) |
2008 |
35 | EE | Joris M. Mooij,
Hilbert J. Kappen:
Bounds on marginal probability distributions.
NIPS 2008: 1105-1112 |
34 | EE | Vicenç Gómez,
Andreas Kaltenbrunner,
Vicente López,
Hilbert J. Kappen:
Self-organization using synaptic plasticity.
NIPS 2008: 513-520 |
2007 |
33 | EE | Bastian Wemmenhove,
Joris M. Mooij,
Wim Wiegerinck,
Martijn A. R. Leisink,
Hilbert J. Kappen,
Jan P. Neijt:
Inference in the Promedas Medical Expert System.
AIME 2007: 456-460 |
32 | EE | Joris M. Mooij,
Hilbert J. Kappen:
Sufficient Conditions for Convergence of the Sum-Product Algorithm.
IEEE Transactions on Information Theory 53(12): 4422-4437 (2007) |
31 | EE | Joaquín J. Torres,
Jesús M. Cortés,
Joaquín Marro,
Hilbert J. Kappen:
Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks.
Neural Computation 19(10): 2739-2755 (2007) |
30 | EE | Daniele Marinazzo,
Hilbert J. Kappen,
Stan C. A. M. Gielen:
Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses.
Neural Computation 19(7): 1739-1765 (2007) |
29 | EE | Joaquín J. Torres,
Jesús M. Cortés,
Joaquín Marro,
Hilbert J. Kappen:
Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation.
Neurocomputing 70(10-12): 2022-2025 (2007) |
2006 |
28 | EE | T. Rizzo,
Bastian Wemmenhove,
Hilbert J. Kappen:
On Cavity Approximations for Graphical Models
CoRR abs/cond-mat/0608312: (2006) |
27 | EE | Vicenç Gómez,
Joris M. Mooij,
Hilbert J. Kappen:
Truncating the loop series expansion for Belief Propagation
CoRR abs/cs/0612109: (2006) |
26 | EE | Jesús M. Cortés,
Joaquín J. Torres,
Joaquín Marro,
P. L. Garrido,
Hilbert J. Kappen:
Effects of Fast Presynaptic Noise in Attractor Neural Networks.
Neural Computation 18(3): 614-633 (2006) |
2005 |
25 | EE | Joris M. Mooij,
Hilbert J. Kappen:
Sufficient Conditions for Convergence of Loopy Belief Propagation.
UAI 2005: 396-403 |
24 | EE | Joris M. Mooij,
Hilbert J. Kappen:
Sufficient conditions for convergence of the Sum-Product Algorithm
CoRR abs/cs/0504030: (2005) |
2004 |
23 | EE | Joris M. Mooij,
Hilbert J. Kappen:
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks.
NIPS 2004 |
2003 |
22 | EE | Martijn A. R. Leisink,
Hilbert J. Kappen:
Bound Propagation.
J. Artif. Intell. Res. (JAIR) 19: 139-154 (2003) |
2002 |
21 | EE | Martijn A. R. Leisink,
Hilbert J. Kappen,
Han G. Brunner:
Linkage Analysis: A Bayesian Approach.
ICANN 2002: 595-600 |
20 | | Martijn A. R. Leisink,
Hilbert J. Kappen:
General Lower Bounds based on Computer Generated Higher Order Expansions.
UAI 2002: 293-300 |
19 | EE | Lovorka Pantic,
Joaquín J. Torres,
Hilbert J. Kappen,
Stan C. A. M. Gielen:
Associative Memory with Dynamic Synapses.
Neural Computation 14(12): 2903-2923 (2002) |
2001 |
18 | EE | Hilbert J. Kappen,
Wim Wiegerinck:
Novel iteration schemes for the Cluster Variation Method.
NIPS 2001: 415-422 |
17 | | Martijn A. R. Leisink,
Hilbert J. Kappen:
A Tighter Bound for Graphical Models.
Neural Computation 13(9): 2149-2171 (2001) |
16 | EE | Lovorka Pantic,
Joaquín J. Torres,
Hilbert J. Kappen:
On the role of dynamical synapses in coincidence detection.
Neurocomputing 38-40: 285-291 (2001) |
2000 |
15 | | Hilbert J. Kappen,
Wim Wiegerinck:
Second Order Approximations for Probability Models.
NIPS 2000: 238-244 |
14 | | Martijn A. R. Leisink,
Hilbert J. Kappen:
A Tighter Bound for Graphical Models.
NIPS 2000: 266-272 |
13 | | Shotaro Akaho,
Hilbert J. Kappen:
Nonmonotonic Generalization Bias of Gaussian Mixture Models.
Neural Computation 12(6): 1411-1427 (2000) |
12 | EE | Martijn A. R. Leisink,
Hilbert J. Kappen:
Learning in higher order Boltzmann machines using linear response.
Neural Networks 13(3): 329-335 (2000) |
1999 |
11 | EE | 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.
Pattern Recognition Letters 20(11-13): 1231-1239 (1999) |
1998 |
10 | | Hilbert J. Kappen,
Francisco de Borja Rodríguez Ortiz:
Efficient Learning in Boltzmann Machines Using Linear Response Theory.
Neural Computation 10(5): 1137-1156 (1998) |
1997 |
9 | | Hilbert J. Kappen,
Francisco de Borja Rodríguez Ortiz:
Accelerated Learning in Boltzmann Machines Using Mean Field Theory.
ICANN 1997: 301-306 |
8 | | Hilbert J. Kappen,
Francisco de Borja Rodríguez Ortiz:
Boltzmann Machine Learning Using Mean Field Theory and Linear Response Correction.
NIPS 1997 |
7 | EE | Marcel J. Nijman,
Hilbert J. Kappen:
Symmetry Breaking and Training from Incomplete Data with Radial Basis Boltzmann Machines.
Int. J. Neural Syst. 8(3): 301-315 (1997) |
6 | EE | Hilbert J. Kappen,
Francisco de Borja Rodríguez Ortiz:
Mean field approach to learning in Boltzmann Machine.
Pattern Recognition Letters 18(11-13): 1317-1322 (1997) |
1996 |
5 | | Hilbert J. Kappen,
Pablo Varona:
Dynamic Feature Linking in Stochastic Networks with Short Range Interactions.
ICANN 1996: 101-106 |
4 | | Marcel J. Nijman,
Hilbert J. Kappen:
Efficient Learning in Sparsely Connected Boltzmann Machines.
ICANN 1996: 41-46 |
3 | | David M. J. Tax,
Hilbert J. Kappen:
Learning Structure with Many-Take-All Networks.
ICANN 1996: 95-100 |
1995 |
2 | EE | Hilbert J. Kappen:
Deterministic learning rules for boltzmann machines.
Neural Networks 8(4): 537-548 (1995) |
1990 |
1 | | Hilbert J. Kappen,
C. Gielen:
Neurocomputing research in The Netherlands.
Neurocomputing 2(1): 35-38 (1990) |