Keywords:
- (adaptive) learning rate
- (artificial) neural network
- activation function
- adaptive steepness
- backpropagation
- Bayesian latent variable model
- bias
- connectionism
- curve fit
- evidence framework
- Expectation-Maximization algorithm
- factor analysis
- gain
- hardware implementation
- initial weight
- latent variable
- liquid crystal light valve (LCLV)
- mixture models
- multilayer neural network
- neural computation
- neural computing
- neural network
- neurocomputing
- non-negative neural networks
- normal distribution
- optical implementation
- optical multilayer neural network
- optical multilayer perceptron
- principal component analysis
- sigmoid steepness
- slope
- weight discretization
Publications of Perry Moerland sorted by recency
| Handwritten Digit Recognition with Binary Optical Perceptron, , , and , Idiap-RR-15-1997 |
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| Localized mixtures of experts, , Idiap-RR-14-1998 |
| An Optical Thresholding Perceptron, , , , and , Idiap-RR-16-1997 |
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| Mixtures of Experts Estimate A Posteriori Probabilities, , Idiap-RR-07-1997 |
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| Overcoming Inaccuracies in Optical Multilayer Perceptrons, , and , in: Proceedings of the First International Symposium on Neuro-Fuzzy Systems (AT'96), Lausanne, Switzerland, AATI, 1996 |
| Incorporation of Liquid-Crystal Light Valve Non-Linearities in Optical Multilayer Neural Networks, , and , in: Applied Optics, 35(26), 1996 |
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| Hardware-Friendly Learning Algorithms for Neural Networks: An Overview, and , in: Proceedings of the Fifth International Conference on Microelectronics for Neural Networks and Fuzzy Systems: MicroNeuro'96, EPFL and CSEM, Lausanne, Switzerland, IEEE Computer Society Press, 1996 |
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| Connectionist Quantization Functions, , and , in: Proceedings of the '96 SIPAR-Workshop on Parallel and Distributed Computing, Scientific and Parallel Computing Group, University of Geneva, Geneva, Switzerland, 1996 |
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| A Review of MicroNeuro'96, February 12-14, 1996, Lausanne, Switzerland, , in: Neurocomputing, 12(04), 1996 |
| A Method for All-Positive Optical Multilayer Perceptrons, , and , in: Proceedings of the Third IEEE International Conference on Electronics, Circuits, and Systems, University of Patras, Rhodos, Greece, IEEE, 1996 |
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| Some Methods for Training Mixtures of Experts, , Idiap-Com-05-1997 |
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| Quantization and Pruning of Multilayer Perceptrons: Towards Compact Neural Networks, and , Idiap-Com-02-1997 |
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| Neural Network Adaptations to Hardware Implementations, and , Idiap-RR-17-1997 |
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| Neural Network Adaptations to Hardware Implementations, and , in: Handbook of Neural Computation, Institute of Physics Publishing and Oxford University Publishing, 1997 |
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| Mixtures of Experts Estimate A Posteriori Probabilities, , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97), Springer-Verlag, 1997 |
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| Handwritten Digit Recognition with Binary Optical Perceptron, , , and , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'97), Springer-Verlag, 1997 |
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| Discrete All-Positive Multilayer Perceptrons for Optical Implementation, , and , Idiap-RR-02-1997 |
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| An Optical Thresholding Perceptron, , , , and , in: Proceedings of the Workshop on Optics and Computer Science, Geneva, Switzerland, 1997 |
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| Discrete All-Positive Multilayer Perceptrons for Optical Implementation, , and , in: Optical Engineering, 37(4), 1998 |
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| Classification using localized mixtures of experts, , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999 |
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| A comparison of mixture models for density estimation, , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'99), London: IEE, 1999 |
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| DynaBoost: Combining Boosted Hypotheses in a Dynamic Way, and , Idiap-RR-09-1999 |
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| Mixtures of latent variable models for density estimation and classification, , Idiap-RR-25-2000 |
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| Mixture Models for Unsupervised and Supervised Learning, , Idiap-RR-18-2000 |
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| Mixture Models for Unsupervised and Supervised Learning, , École Polytechnique Fédérale de Lausanne, Computer Science Department, 2000 |
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| The Interchangeability of Learning Rate and Gain in Backpropagation Neural Networks, , and , in: Neural Computation, 8(02), 1996 |
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| Gain Elimination form Backpropagation Neural Networks, , and , in: Proceedings of the International Conference on Neural Networks, IEEE, Perth, IEEE, 1995 |
| The Effects of Optical Thresholding in Backpropagation Neural Networks, , and , in: Proceedings of the International Conference on Artificial Neural Networks (ICANN'95 and NeuroNimes'95), ENNS, Paris, France, EC2 & Cie, 1995 |
| Results on the Steepness in Backpropagation Neural Networks, , and , in: Proceedings of the '94 SIPAR-Workshop on Parallel and Distributed Computing, SI Group for Parallel Systems, 1994 |