Menschon SA, Kappen H.J.
International Journal of Control,
pp. 1-8,
2018
Baldassi C, Gerace F., Kappen H.J., Lucibello C., Saglietti L., Tartaglione E., Zecchina R.
Role of synaptic stochasticity in training low-precision neural netwtorks.
Physical Review Letters,
vol. 120,
no. 26,
pp. 268103-1-6,
2018
Kolmus A., Katsnelson M.I., Khajetoorians A.A., Kappen H.J.
Tunable glassiness on a two-dimensional atomic spin array.
arxiv,
vol. 1803,
2018
Ruiz Euler H.C., Rebelo Marques J.P , Kappen H.J.
Nonlinear deconvolution by sampling biophysically plausible hemodynamic models.
arxiv,
2018
Ruiz Euler H.C., Kappen H.J.
Effective connectivity from single trial fmri data by sampling biologically plausible models.
arxiv,
2018
Kappen H.J.
Learning quantum models from quantum or classical data.
arxiv,
vol. 11278,
2018
Thijssen S.A., Kappen H.J.
Consistent adaptive multiple importance sampling and controlled diffusions.
arxiv,
2018
Satoh Satoshi, Kappen H.J.
IEEE transactions on Automatic Control,
vol. 62,
no. 3,
pp. 262-276.,
2017
Thalmeier D., Gómez V., Kappen H.J.
Action selection in growing state spaces:
control of network structure growth.
Journal of Physics A,
vol. 50,
pp. 1-21,
2017
Ruiz H.C., Kappen H.J.
Particle smoothing for hidden diffusion processes: adaptive path integral smoother.
IEEE Transactions on Signal Processing,
vol. 65,
pp. 3391-3203,
2017
McGuire, K.N., Croon G. de, Tuyls K., Kappen H.J.
Efficient optical flow and stereo vision for an autonomous pocket drone..
IEEE transactions on Automatic Control,
vol. 2,
pp. 1070-1076,
2017
Nauta J., Thalmeier D., Kappen H.J.
About path integrals, trust regions and feynman diagrams.
Master Thesis,
2017
Bierkens J., Chernyak V.Y., Chertkov M., Kappen H.J.
Journal of Statistical Mechanics: Theory and Experiment,
vol. 013206,
2016
McGuire, K.N., Croon G. de, De Wachter C., Remes B., Tuyls K., Kappen H.J.
IEEE International Conference on Robotics and Automation,
vol. 2,
pp. 3255-3260,
2016
Kappen H.J., Ruiz H.C.
Journal of Statistical Physics,
vol. 162,
pp. 1244-1266,
2016
Gómez V., Thijssen S.A., Symington A., Hailes Stephen, Kappen H.J.
Proceedings ICAPS,
vol. 26,
2016
Thalmeier D., Uhlmann M., Memmesheimer R., Kappen H.J.
Plos Computational Biology,
vol. 12,
no. 6,
pp. 29-58,
2016
Thalmeier D., Gómez V., Kappen H.J.
Optimal control of network structure growth.
NIPS workshop on Advances in Approximate Bayesian Inference,
2016
Ruiz Euler, Kappen H.J.
Smoothing estimates of diffusion processes.
NIPS workshop on Advances in Approximate Bayesian Inference,
2016
Thijssen S.A., Kappen H.J.
Physical Review E,
vol. 91,
no. 032104,
pp. 1-6,
2015
Gómez V., Thijssen S.A., Symington A., Hailes Stephen, Kappen H.J.
Real-time stochastic optimal control for multi-agent quadrotor swarm.
RSS Workshop R4Sim2015 Rome,
2015
Kappen H.J., Ruiz H.C., Christian H.
Adaptive importance sampling for control and inference.
Journal of Statistical Physics,
2015
Sharp K., Vasquez A Arias, Franke B., Wiegerinck W.A.J.J., Albers C.A., Kappen H.J.
explaining missing heritability with common genetic variants using gaussian process regression.
Nature Genetics,
2015
Thalmeier D., Uhlmann M., Memmesheimer R., Kappen H.J.
Learning universal computations with spikes.
2015
Kappen H.J., Gómez V.
Machine Learning Journal,
vol. 96,
no. 3,
pp. 269-294,
2014
Chernyak V., Chertkov, M, Bierkens J., Kappen H.J.
Journal of Physics A: Mathematical and Theoretical as a Fast Track Communication,
vol. 47,
no. 2,
pp. 022001,
2014
Llera A., Gómez V., Kappen H.J.
Neural Computation,
pp. 1-20,
2014
Llera A., Gómez V., Kappen H.J.
.
Journal of Neural Engineering,
vol. 11,
no. 5,
pp. 056002,
2014
Gómez V., Kappen H.J., Peters J., Neumann G.
LNAI conference proceedings,
pp. 1-16,
2014
Bierkens J., Kappen H.J.
Systems and Control Letters,
pp. 1-16,
2014
Matsubara T., Gómez V., Kappen H.J.
Latent kullback leibler control for continuous-state systems using probabilistic graphical models.
Proceedings UAI,
vol. 30 th,
pp. 1-10,
2014
Mejias FF., Kappen H.J., Longtin A., Torres J.J.
Granada Seminar AIP Proceedings 2013,
vol. 1510,
pp. 185-194,
2013
Gheshlaghi Azar M., Munos R., Ghavamzadaeh M., Kappen H.J.
Speedy q-learning: a computationally efficient reinforcement learning algorithm with a near optimal rate of convergence.
Journal of Machine Learning Research,
2013
Gheshlaghi Azar M., Munos R., Kappen H.J.
Machine Learning Journal,
vol. 91,
no. 3,
pp. 325-349,
2013
Bierkens J., Chertkov, M, Kappen H.J.
pp. 1-16,
2013
Torres J.J., Kappen H.J.
Frontiers in Computational Neuroscience,
vol. 7,
no. 30,
pp. 1-13,
2013
Wiegerinck W.A.J.J., Burgers W.G., Kappen H.J.
Handbook on Neural Information Processing,
vol. 49,
pp. 401-431,
2013
Kappen H.J., Gómez V.
Technical Report,
pp. invited paper,
2013
Kappen H.J.
Comment: causal entropic forces.
Technical Report,
pp. http://arxiv.org/abs/1312.4185,
2013
Llera A., Gómez V., Kappen H.J.
TOBI Workshop IV,
pp. 117-119,
2013
Llera A., Gómez V., Kappen H.J.
Is task selection a solution for bci
illiteracy?.
Journal of Neural Engeneering,
2013
Thijssen S.A., Kappen H.J.
Stochastic path integral control.
International Journal of Control,
2013
Kappen H.J., Gómez V., Opper M.
Machine Learning,
vol. 87,
no. 2,
pp. 159-182,
2012
Gómez V., Kappen H.J., Litvak N., Kaltenbrunner A.
World Wide Web,
vol. 16,
no. 5-6,
pp. 645-675,
2012
Llera A., Gómez V., Kappen H.J.
Adaptive classification on brain computer interfaces using reinforcement signals.
Neural Computation,
vol. 24,
no. 11,
pp. 2900-2923,
2012
Gheshlaghi Azar M., Munos R., Kappen H.J.
Proceedings of the International Conference on Machine Learning
Learning,
vol. 29 th,
pp. 1-11,
2012
Torres J.J., Kappen H.J.
Frontiers in Neuroscience,
2012
Gheshlaghi Azar M., Gómez V., Kappen H.J.
Journal of Machine Learning Research,
no. 13,
pp. 3207-3245,
2012
Gómez V., Chertkov, M, Backhaus S., Kappen H.J.
SmartGrid Comm 2012, Symposium ion Architectures and Models for the SmartGrid,
pp. invited paper,
2012
Tramper J.J., Broek J.L. van den, Kappen H.J., Gielen C.C.A.M.
Plos One,
vol. 7,
no. 3,
pp. e33724,
2012
Llera A., Gerven M van, Gómez V., Jensen O., Kappen H.J.
Neural Networks,
vol. 24,
pp. 1120-1127,
2011
Kappen H.J.
Inference and Learning in Dynamic Models,
pp. 363-387,
2011
Tramper J.J., Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J., Gielen C.C.A.M.
Stochastic optimal control predicts human motor behavior in time-constrained
sensorimotor tasks.
Biological Cybernetics,
pp. xx,
2011
Gheshlaghi Azar M., Munos R., Ghavamzadaeh M., Kappen H.J.
NIPS 2011, Advances in Neural Information Processing Systems 24,
vol. 25,
pp. 2411--2419,
2011
Bierkens J., Kappen H.J.
NIPS 2011, 4th International Workshop on Optimization for Machine Learning,
vol. 25,
pp. 1-6,
2011
Gómez V., Kappen H.J., Kaltenbrunner A.
Proceedings of the 22nd ACM Conference on Hypertext and Hypermedia,
vol. 22,
pp. 181-190,
2011
Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J.
Stochastic optimal control of state constrained systems.
International Journal of Control,
vol. 84,
no. 3,
pp. 597-615,
2011
Gheshlaghi Azar M., Gómez V., Kappen H.J.
JMLR: Workshop and Conference Proceedings: AISTATS 2011,
vol. 15,
pp. 119-127,
2011
Kappen H.J.
Donders Institute for Brain, Cognition and Behaviour,
no. 17,
pp. 4-5,
2011
Wiegerinck W.A.J.J., Kappen H.J., Burgers W.G.
Interactive Collaborative Information Systems,
vol. SCI 281,
pp. 547-578,
2010
Burgers W.G., Wiegerinck W.A.J.J., Kappen H.J., Spalburg M.
Expert Systems With Applications,
vol. 37,
no. 12,
pp. 7526-7532,
2010
Gómez V., Kappen H.J., Chertkov, M
Journal for Machine Learning Research (JMLR),
vol. 11,
pp. 1273-1296,
2010
Mensink T., Verbeek J., Kappen H.J.
ECAI,
pp. 1-6,
2010
Kappen H.J., Tonk S.
no. TR1001,
pp. 1-5,
2010
Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J.
UAI,
vol. 26,
pp. 1-8,
2010
Mejias FF., Kappen H.J., Torres J.J.
Plos One,
vol. 5,
no. 11,
pp. 1-13,
2010
Gómez V., Kappen H.J., Chertkov, M
Proceedings UAI,
vol. 25,
pp. no pages,
2009
Gómez V., Kaltenbrunner A., López V., Kappen H.J.
Advances in Neural Information Processing Systems,
vol. 22,
pp. 513-520,
2009
Mooij J.M., Kappen H.J.
Neural Information Processing Systems,
vol. 22,
pp. 1105-1113,
2009
Mooij J.M., Kappen H.J.
Journal for Machine Learning Research (JMLR),
2009
Llera A., Gómez V., Kappen H.J.
Proceedings of ABCI workshop,
vol. xx,
no. xx,
pp. xxx,
2009
Mejias FF., Torres J.J., Johnson S., Kappen H.J.
Bio-Inspired Systems: Computational and Ambient Intelligence,
pp. 17-23,
2009
Janss L., Kappen H.J.
PASCAL Computational Statistics Workshop,
pp. Presentation,
2009
Gheshlaghi Azar M., Kappen H.J.
Dynamic policy programming with kl-divergence minimization.
NIPS Workshop on Probabilistic Approaches for Stochastic Optimal Control and Robotics,
2009
Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J.
Journal of Artificial Intelligence Research,
vol. 32,
pp. 95-122,
2008
Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J.
Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning,
vol. 4865,
pp. 15-26,
2008
Broek J.L. van den, Wiegerinck W.A.J.J., Kappen H.J.
Alamas 07, Maastricht 2-3 April.,
pp. 9-20,
2008
Albers C.A., Stankovich J., Thomson T., Bahlo M., Kappen H.J.
Multipoint approximations of identity-by-descent probabilities for accurate linkage analysis of distantly-related individuals.
American Journal of Human Genetics,
vol. 82,
no. web only,
pp. 607-622,
2008
Welling M., Teh Y., Kappen H.J.
UAI,
vol. Website Only,
pp. 1-8,
2008
Albers C.A., Kappen H.J.
Modeling linkage disequilibrium in exact linkage.
BMC Proceedings of the genetic Analysis Workshop 15: Gene Expression Analysis and Approaches to Detecting Multiple Functional,
vol. 1,
pp. S159,
2007
Gómez V., Mooij J.M., Kappen H.J.
Journal for Machine Learning Research (JMLR),
vol. 8,
pp. 1987-2016,
2007
Wiegerinck W.A.J.J., Broek J.L. van den, Kappen H.J.
AAMAS'07,
vol. website,
pp. 1-8,
2007
Kappen H.J.
In 9th Granada seminar on Computational Physics: Computational and
Mathematical Modeling of Cooperative Behavior in Neural Systems.,
pp. 149-181,
2007
Torres J.J., Marro J., Cortes J.M., Kappen H.J.
Attractor neural networks with activity-dependent synapses: the role
of synaptic facilitation..
Neurocomputing,
vol. 70,
no. 10-12,
pp. 2022-2025,
2007
Rizzo T., Wemmenhove B., Kappen H.J.
Physical Review E, section Statistical physics,
vol. Rev. E 76,
no. 011102,
pp. 9 pages,
2007
Wemmenhove B., Mooij J.M., Wiegerinck W.A.J.J., Leisink M.A.R., Kappen H.J., Neijt J.P.
Proceedings of the 11th Conference on Artificial Intelligence in
Medicine (AIME 07),
vol. 4594,
pp. 456-460,
2007
Marinazzo D., Kappen H.J., Gielen C.C.A.M.
Neural Computation,
vol. 19,
pp. 1739-1765,
2007
Mooij J.M., Wemmenhove B., Kappen H.J., Rizzo T.
Proceedings AISTATS 2007,
vol. Website,
pp. 8 pages,
2007
Torres J.J., Cortes J.M., Marro J., Kappen H.J.
Neural Computation,
vol. 19,
pp. 2739-2755,
2007
Mooij J.M., Kappen H.J.
IEEE Transactions
on Information Theory,
vol. 53,
no. 12,
pp. 4422-4437,
2007
Mooij J.M., Kappen H.J.
Journal of Machine Learning Research,
vol. 8,
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2007
Albers C.A., Kappen H.J.
Genetics,
no. 177,
pp. 1101-1116,
2007
Cortes J.M., Torres J.J., Marro J., Garrido P.L., Kappen H.J.
Neural Computation,
vol. 18,
pp. 614-633,
2006
Albers C.A., Leisink M.A.R., Kappen H.J.
BMC Bioinformatics, Special issue on Machine Learning in Computational Biology,
vol. 7(Suppl 1),
pp. S1,
2006
Wemmenhove B., Kappen H.J.
J. Phys. A: Math. Gen.,
vol. 39,
pp. 1265-1283,
2006
Cemgil A.T., Kappen H.J., Barber D.
IEEE Transactions on Speech and Audio
Processing,
vol. 14,
pp. 679-694,
2006
Mols B., Neijt J.P., Kappen H.J.
Intermediair,
pp. 51-53,
2006
Wiegerinck W.A.J.J., Broek J.L. van den, Kappen H.J.
UAI,
vol. 22 th,
pp. 528-535,
2006
Kappen H.J., Mainzer K,
Op zoek naar de ziel.
Zelfdenkende pillen en andere technologie die ons leven zal veranderen,
pp. 217-223,
2006
Torres J.J., Cortes J.M., Wemmenhove B., Marro J., Kappen H.J.
Neural automata: the effect of microdynamics on unstable solutions.
2006
Mooij J.M., Kappen H.J.
Uncertainty in Artificial Intelligence,
pp. 396-403,
2005
Kappen H.J.
Inaugurele rede,
pp. 1-23,
2005
Mooij J.M., Kappen H.J.
Advances in Neural Information Processing Systems 17,
vol. 17,
pp. 945-952,
2005
Cortes J.M., Garrido P.L., Kappen H.J., Marro J., Morrillas C, Navivad D
Proceedings of the AIP Conference,
vol. 779,
pp. 178-184,
2005
Kappen H.J.
Physical Review Letters,
vol. 95,
pp. 200201,
2005
Kappen H.J.
Journal of Statistical Mechanics: Theory and Experiment,
pp. P11011,
2005
Mooij J.M., Kappen H.J.
Journal of Statistical Mechanics: Theory and Experiment,
pp. P110-12,
2005
Bakker B., Neijt J.P., Kappen H.J.
Statistics in Medicine,
pp. 2989-3012,
2004
Heskes T.M., Albers C.A., Kappen H.J.
In: Proceedings UAI-2003,
pp. 313-320,
2003
Cemgil A.T., Barber D., Kappen H.J.
Proceedings of the International Conference on Artificial Neural Networks,
pp. CD,
2003
Pantic L., Torres J.J., Kappen H.J.
Network: Computation in Neural Systems,
vol. 14,
pp. 17-33,
2003
Albers C.A., Kappen H.J.
Proceedings BNAIC,
vol. 15,
pp. 11-18,
2003
Torres J.J., Pantic L., Kappen H.J.
AIP Conference Proceedings 661,
pp. 174-180,
2003
Cemgil A.T., Kappen H.J.
Journal of Artificial Intelligence Research,
vol. 18,
pp. 45-81,
2003
Leisink M.A.R., Kappen H.J.
Journal of Artificial Intelligence Research,
pp. 139-154,
2003
Cemgil A.T., Kappen H.J., Barber D.
In Proceedings IEEE WASPAA, Workshop on Applications of Signal Processing to Audio and Acoustics.,
2003
Kappen H.J., Neijt J.P.
SNN - UMCU,
2002
Leisink M.A.R., Kappen H.J., Brunner H.G.
ICANN 2002, LNCS 2415,
pp. 595-600,
2002
Cemgil A.T., Kappen H.J.
Proceedings of 2002 International Computer Music Conference, Gothenburg/Sweden,
pp. 419-422,
2002
Kappen H.J., Wiegerinck W.A.J.J., Braak E.W.M.T. ter
Dealing with the data flood. Mining data, text and multimedia,
pp. 111-121,
2002
Bakker B., Kappen H.J.
Theoretical Computer Science,
vol. 287,
no. 1,
pp. 219-238,
2002
Leisink M.A.R., Kappen H.J.
In: Advances in Neural Information Processing Systems, 14,
vol. 14-1,
pp. 455-462,
2002
Cemgil A.T., Kappen H.J.
Tempo tracking and rhythm quantization by sequential monte carlo.
Advances in Neural Information Processing Systems 14, Part VIII Applications,
vol. 14-2,
pp. 1361-1368,
2002
Pantic L., Torres J.J., Kappen H.J., Gielen C.C.A.M.
Neural Computation,
vol. 14,
pp. 2903-2923,
2002
Kappen H.J.
Modelling Bio-Medical Signals,
pp. 3-16,
2002
Kappen H.J., Wiegerinck W.A.J.J.
Advances in Neural Information Processing Systems 14,
vol. 14,
pp. 415-422,
2002
Leisink M.A.R., Kappen H.J.
In: Proceedings Uncertainty in AI 2002,
vol. 18,
pp. 293-210,
2002
Torres J.J., Pantic L., Kappen H.J.
Physical Review E,
vol. 66,
pp. 061910,
2002
Cemgil A.T., Kappen H.J.
Proceedings of 2001 International Computer Music Conference, Havana/Cuba,
pp. 147-150,
2001
Kappen H.J., Wiegerinck W.A.J.J.
Advances in Neural Information Processing Systems 11,
vol. 13,
pp. 238-244,
2001
Kappen H.J., Wiegerinck W.A.J.J., Nijman M.J.
Software Support for Bayesian Analysis Systems Proceedings,
pp. 11-13,
2001
Kappen H.J., Wiegerinck W.A.J.J.
Advanced mean field theory,
pp. 37-49,
2001
Cemgil A.T., Kappen H.J., Desain P., Honing H.
Journal of New Music Research,
vol. 29,
pp. 259-273,
2001
Kappen H.J.
In: Handbook of Biological Physics, Neuro-informatics and Neural Modelling,
vol. 4,
pp. 517-552,
2001
Leisink M.A.R., Kappen H.J.
Neural Computation,
vol. 13,
no. 9,
pp. 2149--2171,
2001
Kappen H.J.
A novel iteration scheme for the cluster variation method.
Neural Information Processing Systems,
vol. 13,
pp. 415-422,
2001
Kappen H.J., Gielen C.C.A.M., Wiegerinck W.A.J.J., Cemgil A.T., Nijman M.J.
Approximate reasoning: real world applications of graphical models.
Foundations of Real-World Intelligence,
pp. 73-121,
2001
Cemgil A.T., Kappen H.J.
A dynamic belief network implementation for realtime music transcription.
Proceedings of the 13th Belgian-Dutch Conference on Artificial Intelligence,
pp. 473-474,
2001
Torres J.J., Willems P.H.G.M., Kappen H.J., Koopman W.J.H.
Europhysics Letters,
vol. 55,
no. 5,
pp. 746-752,
2001
Torres J.J., Kappen H.J., Willems P.H.G.M., Koopman W.J.H.
Biophysical Journal,
vol. 80,
pp. 613A, part 2,
2001
Leisink M.A.R., Kappen H.J.
Neural Networks,
vol. 13 - 3,
no. 3,
pp. 329-335,
2000
Kappen H.J.
Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic.,
vol. 2,
pp. 157-164,
2000
Leisink M.A.R., Kappen H.J.
In Neural Information Processing Systems, NIPS 2000, Denver, USA,
vol. 13,
pp. 266-272,
2000
Kappen H.J., Leisink M.A.R.
Ned tijdschrift voor Natuurkunde,
vol. 66,
pp. 14-19,
2000
Cemgil A.T., Desain P., Kappen H.J.
Computer Music Journal,
vol. 24,
no. 2,
pp. 60-75,
2000
Wiegerinck W.A.J.J., Kappen H.J.
New Generation Computing,
vol. 18,
no. 2,
pp. 167-175,
2000
Kappen H.J., Spanjers J.J.
Physical Review E,
vol. 61,
pp. 5658-5663,
2000
Wiegerinck W.A.J.J., Kappen H.J., Leisink M.A.R., Barber D., Stroeve S.
RWC'2000 symposium, Tokyo, Japan,
pp. 265-270,
2000
Bakker B., Kappen H.J.
Proceedings Artificial Neural Networks in Medicine and Biology,
pp. 162-167,
2000
Cemgil A.T., Kappen H.J.
A graphical model for music transcription.
In Neural Information Processing System, NIPS 2000, Denver, USA,
2000
Wiegerinck W.A.J.J., Kappen H.J.
2000
Kappen H.J., Wiegerinck W.A.J.J.
Stochastic dynamics with dominant self-coupling.
Presentation "Learning",,
2000
Heskes T.M., Kappen H.J.
An application of linear response learning.
Proceedings of the 12th Belgium-Netherlands Artificial Intelligence Conference,
pp. 117-124,
2000
Cemgil A.T., Kappen H.J., Desain P., Honing H.
Int Computer Music Conf., Berlin, Sept. 2000,
pp. 352-355,
2000
Pantic L., Torres J.J., Kappen H.J.
Coincidence detection with dynamic synapses.
Abstract Workshop NIPS'00,
vol. 13,
pp. workshop,
2000
Pantic L., Torres J.J., Kappen H.J.
Proceedings of CNS'2000, Neurocomputing,
vol. 38-40,
pp. 285-291,
2000
Kappen H.J.
Predicting newspaper sales: jed system 'weathers' the tests.
Newspaper Techniques,
2000
Leisink M.A.R., Kappen H.J.
Learning higher order boltzmann machines using linear response.
Neural Networks,
vol. 13,
pp. 329--335,
2000
Akaho S., Kappen H.J.
Ned tijdschrift voor Natuurkunde,
vol. 12,
pp. 1411�1427,
2000
Leisink M.A.R., Kappen H.J.
Proceedings International Conference on Artificial Neural Networks 9,
vol. 2,
pp. 425-431,
1999
Stroeve S., Kappen H.J., Gielen C.C.A.M.
Proceedings International Conference on Artificial Neural Networks 9,
vol. 2,
pp. 732-737,
1999
Wiegerinck W.A.J.J., Kappen H.J., Nijman M.J., Braak E.W.M.T. ter, Burg W.J.P.P. ter, Ying-Lie O.
Pattern Recognition Letters,
vol. 20,
pp. 1231-1239,
1999
Kappen H.J., Leisink M.A.R.
On the validity of mean field theory for finite size boltzmann machines.
Proceedings Snowbird 99, Utah, USA,
1999
Kappen H.J., Wiegerinck W.A.J.J., Nijman M.J.
Promedas. a probabilistic medical diagnostic advisory system.
Presentatie project Promedas,
1999
Cemgil A.T., Desain P., Kappen H.J.
Proceedings of the AISB'99 Convention,
pp. 140-146,
1999
Kappen H.J., Wiegerinck W.A.J.J., Nijman M.J., Braak E.W.M.T. ter, Burg W.J.P.P. ter, Ying-Lie O.
Promedas. a probabilistic medical diagnostic advisory system.
AIM'99,
pp. 16,
1999
Kappen H.J.
Technical Report SNN, NIPS'99 rejected,
1999
Bakker B., Kappen H.J.
A variational approach to bayesian survival analysis.
Advances in Neural Information Processing Systems 11,
1999
Leisink M.A.R., Kappen H.J.
IJCNN'2000,
1999
Kappen H.J., Gielen C.C.A.M., Wiegerinck W.A.J.J., Barber D., Laar P. van de
RWC'98, Tokyo, Japan,
pp. 285-292,
1998
Leisink M.A.R., Kappen H.J.
Artificial Neural Networks 8,
vol. 2,
pp. 511-517,
1998
Akaho S., Kappen H.J.
Neural Computation,
1998
Kappen H.J., Rodriquez F.B.
Advances in Neural Information Processing Systems 10,
pp. 280-286,
1998
Kappen H.J., Nijman M.J., Moorsel T. van
Industrial Applications of Neural Networks,
pp. 193-202,
1998
Kappen H.J., Groothof M.
Just enough delivery.
INMA Ideas Magazine,
pp. 23,
1998
Nijman M.J., Kappen H.J.
Symmetry breaking and training from incomplete data with radial basis boltzmann machines.
International Journal of Neural Systems A,
vol. 8,
pp. 301-316,
1997
Nijman M.J., Kappen H.J.
Efficient learning in sparsely connected boltzmann machines.
Proceedings RWC'97,
pp. 406-409,
1997
Kappen H.J.
Physical Review E,
vol. 55,
pp. 5849-5858,
1997
Kappen H.J., Rodriquez F.B.
Neural Computation,
vol. 10,
pp. 1137-1156,
1997
Kappen H.J., Rodriquez F.B.
Pattern Recognition in Practice V,
vol. 18,
no. 11-13,
pp. 1317-1322,
1997
Wiegerinck W.A.J.J., Burg W.J.P.P. ter, Dam P.S. van, Ying-Lie O., Neijt J.P., Kappen H.J.
An advisory system for anaemia based on boltzmann machines.
5th Eurpean Congres on Intelligent Techniques and Soft Computing,
vol. 1,
pp. 364-368,
1997
Kappen H.J.
A polynomial time algorithm for boltzmann machine learning.
Workshop Cambridge,
1997
Kappen H.J., Mempen, Dijken A. van, Otten H.A.F.M.
Voorspelling van frisdrankverkoop.
1997
Wiegerinck W.A.J.J., Kappen H.J., Gielen C.C.A.M.
1997
Kappen H.J., Gielen C.C.A.M.
Neural networks: best practice in europe.
Neural Networks: Best Practice in Europe,
pp. 209,
1997
Kappen H.J., Rodriquez F.B.
Accelerated learning in boltzmann machines using mean field theory.
Artificial Neural Networks 7,
pp. 301-306,
1997
Wiegerinck W.A.J.J., Burg W.J.P.P. ter, Dam P.S. van, Ying-Lie O., Neijt J.P., Kappen H.J.
Lab-test selection in diagnosis of anaemia.
Neural Networks: Best Practice in Europe,
pp. 179-181,
1997
Wiegerinck W.A.J.J., Kappen H.J.
Practical confidence and prediction intervals for prediction tasks.
Neural Networks: Best Practice in Europe,
pp. 128-135,
1997
Kappen H.J., Wiegerinck W.A.J.J., Morgan T., Harris T.J., Paillet G., Kopecz K.
Stimulation initiative for european neural applications (siena).
Neural Networks: Best Practice in Europe,
pp. 1-8,
1997
unknown author: 168, Kappen H.J.
Artificial Neural Networks 5, Session 1,
pp. 433-436,
1996
Tax D.M.J., Kappen H.J.
Artificial Neural Networks 6,
pp. 95-101,
1996
Nijman M.J., Kappen H.J.
Efficient learning in sparsely connected boltzmann machines.
Artificial Neural Networks 6,
pp. 41-46,
1996
Kappen H.J.
Classification with inquiry.
1996
unknown author: 192, Kappen H.J.
Active decision.
Neural Networks,
1996
Kappen H.J., Theeuwen M.M.H.J.
Weersafhankelijkheid losse verkoop van kranten en tijdschriften in badplaatsen.
1996
Nijman M.J., Kappen H.J.
Efficient learning in sparselyconnected boltzmann machines.
NIPS,
1996
Wiegerinck W.A.J.J., Kappen H.J.
Lab-test selection in diagnosis of anaemia.
Proceedings RWC, Japan,
pp. 83-88,
1996
Kappen H.J., Dijken A. van, Otten H.A.F.M.
Voorspelling van verkoop en inzet van personeel.
1996
Nijman M.J., Kappen H.J.
Efficient estimation of the partition function of anisotropic spin systems.
Physical Review Letters,
1996
Kappen H.J., Verona P.
Artificial Neural Networks 6,
pp. 101-106,
1996
Wiegerinck W.A.J.J., Kappen H.J.
Automatiserings Gids,
vol. 30,
pp. 17,
1996
Wiegerinck W.A.J.J., Kappen H.J.
Siena: stimulation initiative for european neural applications.
Proceedings EUFIT'96,
pp. 280-281,
1996
Kappen H.J.
Proceedings 6th International Congress for Cumputer Technology in Agriculture,
pp. 75-79,
1996
Kappen H.J., Theeuwen M.M.H.J.
Using neural networks to predict consumer behaviour.
Proceedings EUFIT'96,
pp. 2149-2150,
1996
Kappen H.J.
Neural Networks,
vol. 8,
pp. 537-548,
1995
unknown author: 183, Kappen H.J.
Confidence intervals for neural networks.
1995
Kappen H.J., Nijman M.J., Motomura Y.
World Conference on Neural Network,
vol. 1,
pp. 72-75,
1995
Kappen H.J., Pastoors A.G.W., Gielen C.C.A.M.
Confidence intervals for neural networks.
Proceedings of the International Conference on Digital Signal Processing,
vol. 1,
pp. 396-401,
1995
Heskes T.M., Kappen H.J.
Self-organization and nonparametric regression.
Artificial Neural Networks 5,
vol. 1,
pp. 81-86,
1995
Nijman M.J., Kappen H.J.
Radial basis boltzmann machines and incomplete data.
1995
Kappen H.J., Nijman M.J.
Brain Processes, Theories and models. Proceedings W.S. McCullock: 25 years in memoriam.,
pp. 294-299,
1995
Kappen H.J., Gielen C.C.A.M., Krose B.J.A.
Active perception and cognition.
RWC'95, Tokyo, Japan,
pp. 13-14,
1995
Linders D., Kappen H.J.
Neural networks: artificial intelligence and industrial applications,
pp. 63-66,
1995
Kappen H.J., Nijman M.J., Moorsel T. van
Learning active vision: industrial application processing systems,.
Artificial Neural Networks 5, Session 7, Robotics,
pp. 193-202,
1995
Kappen H.J., Gielen C.C.A.M.
Neural networks: artificial intelligence and industrial applications.
Proceedings of the 3rd SNN symposium,
1995
Kappen H.J., Theeuwen M.M.H.J.
Neurale netwerken en voorspelling losse verkoop.
1995
unknown author: 183, Kappen H.J.
Automatisering van neurale netwerken; een direct-mailing applicatie.
1995
Kappen H.J., Willems P.
Neural network analysis to predict treatment outcome in patients with gynaecological cancer.
1994
Kappen H.J., Willems P.
Using neural networks for survival prediction.
Proceedings Interregional Dutch-German Biometric Meeting,
1994
Kappen H.J., Neijt J.P.
Neural network analysis to predict treatment outcome in patients with gynaecological cancer.
1994
Kappen H.J.
Proceedings Pattern Recognition in Practice IV,
pp. 299-312,
1994
Laar P. van de, Kappen H.J.
1994
Nijman M.J., Kappen H.J.
1994
unknown author: 168, Gielen C.C.A.M., Daelemans W., Kappen H.J.
Voorspelling samenstelling vliegas m.b.v neurale netwerken en symbolische methodes.
1994
unknown author: 168, Gielen C.C.A.M., Kappen H.J., Daelemans W.
Korte termijn voorspelling van vliegas m.b.v. neurale netwerken en symbolsch inductie methodes.
1994
Kappen H.J.
Neurale netwerken voor toepassingen op grote databases.
1994
unknown author: 168, Kappen H.J., Neijt J.P.
Neural network analysis to predict treatment outcome in patients with gynaecological cancer.
1994
Gielen C.C.A.M., Kappen H.J.
Informatie en Informatiebeleid, winter,
vol. 12,
no. 4,
pp. 75-81,
1994
Heskes T.M., Kappen H.J.
On-line learning processes in artificial neural networks.
vol. 51,
pp. 199-234,
1993
Kappen H.J., Neijt J.P.
Neural network analysis to predict treatment outcome.
Annuals of Oncology,
vol. 4,
pp. 31-34,
1993
Kappen H.J.
Using boltzmann machines as perceptrons.
IEEE Trans. Neural Networks,
1993
Wiegerinck W.A.J.J., Kappen H.J.
Optimizing the architecture of multi-layer
perceptrons for one-dimensional classification.
Artificial Neural Networks 3,
pp. 558-561,
1993
Kappen H.J.
Using boltzmann machines for probability estimation.
Artificial Neural Networks 3,
pp. 521-526,
1993
Hal R. van, Kappen H.J., Neijt J.P.
Neural network analysis for prediction of treatment outcome in ovarian cancer.
EWOC-3,
1993
Opstal A.J. van, Kappen H.J.
Neural representation of saccadic eye movements in monkey superior colliculus.
Artificial Neural Networks 3,
pp. 88-93,
1993
Heskes T.M., Kappen H.J.
Learning processes in neural networks.
1993
Kappen H.J.
Error potentials for self-organization.
International Conference on Neural Networks, San Francisco,
vol. 3,
pp. 1219-1223,
1993
Slijpen E.T.P., Kappen H.J.
Cooling schedules for learning in neural networks.
Physical Review E,
vol. 47,
pp. 4457-4464,
1993
Kappen H.J.
Neurale netwerken, fuzzy rules en artificiele intelligentie.
Klinische Fysica,
vol. 1,
pp. 13-16,
1993
Opstal A.J. van, Kappen H.J.
A two-dimensional model for spatial-temporal transformation of saccades in monkey superior colliculus.
Network,
vol. 4,
pp. 19-38,
1993
Gielen C.C.A.M., Kappen H.J.
Proceedings of the international confidence icann'93.
Artificial Neural Networks 3,
1993
Slijpen E.T.P., Kappen H.J.
Learning in neural networks with local minima.
Physical Review A,
vol. 46,
pp. 5221-5231,
1992
Kappen H.J.
Learning parameter adjustment in neural networks.
Physical Review A,
vol. 45,
pp. 8885-8893,
1992
Kappen H.J.
Learning rules, stochastic processes, and local minima.
Artificial Neural Networks 2,
vol. 1,
pp. 71-78,
1992
Kappen H.J., Neijt J.P.
Neural network analysis for prediction of treatment
outcome in ovarian cancer.
ASCO,
1992
Kappen H.J., Gielen C.C.A.M.
Proceedings symposium on neural networks.
Proceedings of 2nd SNN Conference on Neural Networks,
vol. 2,
1992
Heskes T.M., Kappen H.J.
Learning processes in neural networks.
Physical Review A,
vol. 44,
pp. 2718-2726,
1991
Kappen H.J., Gielen C.C.A.M.
Neural networks learning in a changing environment.
Artificial Neural Networks 1,
vol. 1,
pp. 15-20,
1991
Kappen H.J.
Een computersimulatie van hetbilocale correlator model.
1991
Opstal A.J. van, Kappen H.J.
Quantitative model for spatio-temporal transformation of oculomotor signals in monkey superior colliculus..
Eur. J. Neurosci. (Suppl),
vol. 14,
pp. 56,
1991
Kappen H.J.
Neural networks learning in achanging environment.
International Joint Conference on Neural Networks, Seattle,
vol. 1,
pp. 823-828,
1991
Kappen H.J.
Learning at a constant rate.
1991
Kappen H.J.
Neurale netwerken: verslag van een symposium.
Informatie,
vol. 33,
pp. 435-438,
1991
Gielen C.C.A.M., Kappen H.J.
Proceedings symposium on neural networks.
Proceedings of 1st SNN symposium,
vol. 1,
1991
Kappen H.J., Gielen C.C.A.M.
Neurocomputing research in thenetherlands.
Neurocomputing,
vol. 2,
pp. 35-38,
1990
Mejias JF, Kappen H.J., Longtin A., Torres J.J.
Short-term synaptic plasticity and heterogeneity in neural systems.
PolyTechnisch tijdschrift 4, jaargang 52,
vol. 1510,
pp. 185-194,
Gómez V., Kappen H.J.
Latent kullback leibler control for continuous-state systems
using probabilistic graphical models.
Proceedings UAI,
vol. 30,
Other