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Stochastic optimal control of state constrained systems

International journal of control, 2011-03, Vol.84 (3), p.597-615

2011

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Improving Cox survival analysis with a neural-Bayesian approach

Statistics in medicine, 2004-10, Vol.23 (19), p.2989-3012

2004

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On-line learning processes in artificial neural networks

Mathematical Approaches to Neural Networks, 1993, Vol.51, p.199-233

1993

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Approximate algorithms for neural-Bayesian approaches: Natural Computing

Theoretical computer science, 2002, Vol.287 (1), p.219-238

2002

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Dynamic feature linking in stochastic networks with short range interactions

Artificial Neural Networks — ICANN 96, 2005, p.101-106

2005

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Optimal on-line scheduling in stochastic multiagent systems in continuous space-time

Proceedings of the 6th international joint conference on autonomous agents and multiagent systems, 2007, p.1-8

2007

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Learning processes in neural networks

Physical review. A, Atomic, molecular, and optical physics, 1991-08, Vol.44 (4), p.2718-2726

1991

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Learning-parameter adjustment in neural networks

Physical review. A, Atomic, molecular, and optical physics, 1992-06, Vol.45 (12), p.8885-8893

1992

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Error potentials for self-organization

IEEE International Conference on Neural Networks, 1993, p.1219-1223 vol.3

1993

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Learning in neural networks with local minima

Physical review. A, Atomic, molecular, and optical physics, 1992-10, Vol.46 (8), p.5221-5231

1992

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Neural networks learning in a changing environment

IJCNN-91-Seattle International Joint Conference on Neural Networks, 1991, Vol.i, p.823-828 vol.1

1991

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Cooling schedules for learning in neural networks

Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 1993-06, Vol.47 (6), p.4457-4464

1993

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Stochastic optimal control of state constrained systems

Improving Cox survival analysis with a neural-Bayesian approach

On-line learning processes in artificial neural networks

Approximate algorithms for neural-Bayesian approaches: Natural Computing

Dynamic feature linking in stochastic networks with short range interactions

Optimal on-line scheduling in stochastic multiagent systems in continuous space-time

Learning processes in neural networks

Learning-parameter adjustment in neural networks

Error potentials for self-organization

Learning in neural networks with local minima

Neural networks learning in a changing environment

Cooling schedules for learning in neural networks

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