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Physical Review Letters|December 31, 2005
Linear theory for control of nonlinear stochastic systemsHilbert J KappenPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|April 15, 2015
Path integral control and state-dependent feedbackSep Thijssen, H J KappenNeural Computation|August 10, 2000
Nonmonotonic generalization bias of Gaussian mixture modelsS Akaho, H J KappenNeural Networks : the Official Journal of the International Neural Network Society|August 11, 2000
Learning in higher order Boltzmann machines using linear responseM A Leisink, H J KappenFrontiers in Computational Neuroscience|May 3, 2013
Emerging phenomena in neural networks with dynamic synapses and their computational implicationsJoaquin J Torres, Hilbert J KappenPhysical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|October 14, 2000
Mean field theory for asymmetric neural networksH J Kappen, J J SpanjersAnnals of Oncology : Official Journal of the European Society for Medical Oncology|January 1, 1993
Advanced ovarian cancer. Neural network analysis to predict treatment outcomeH J Kappen, J P NeijtBMC Proceedings|May 10, 2008
Modeling linkage disequilibrium in exact linkage computations: a comparison of first-order Markov approaches and the clustered-markers approachCornelis A Albers, Hilbert J KappenInternational Journal of Neural Systems|June 1, 1997
Symmetry breaking and training from incomplete data with Radial Basis Boltzmann MachinesM J Nijman, H J KappenPageof 5