David Elizondo, Ralph Birkenhead, Leicester Le Bh
Abstract. The notion of linear separability is widely used in machine learning research. Learning algorithms that use this concept to learn include neural networks (Single Layer Perceptron and...
Transparent Knowledge Extraction (2008)
Methods for building RDP Neural Networks RDP Neural Network Multilayer neural network Generalisation of single layer perceptron for solving non linearly separable classification problems Automatic...
Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks (2008)
Alfaro, E., Noelia, C., Matias, G. R., Martinez, G., Elizondo, David
Bankruptcy forecasting: an empirical comparison of AdaBoost and neural networks (2008)
Alfaro, E., Noelia, C., Matias, G. R., Martinez, G., Elizondo, David
Authentication of individuals using hand geometry biometrics: a neural network approach. (2007)
Elizondo, David, Faundez-Zanuy, M., Ferrer-Ballester, M. A., Travieso-Gonzalez, C. M.
This paper introduces an inexpensive, powerful and easy to use hand geometry based biometric person authentication system using neural networks. The proposed approach followed to construct this...
Elizondo, David, Gongora, Mario Augusto, Luyima, P.
This paper introduces a comparison study of three existing methods for building Recursive Deterministic Perceptron Neural Networks. Three methods were compared in terms of their level of...
Authentication of individuals using hand geometry biometrics: a neural network approach. (2007)
Elizondo, David, Faundez-Zanuy, M., Ferrer-Ballester, M. A., Travieso-Gonzalez, C. M.
This paper introduces an inexpensive, powerful and easy to use hand geometry based biometric person authentication system using neural networks. The proposed approach followed to construct this...
Elizondo, David, Gongora, Mario Augusto, Luyima, P.
This paper introduces a comparison study of three existing methods for building Recursive Deterministic Perceptron Neural Networks. Three methods were compared in terms of their level of...
The linear separability problem: some testing methods (2006)
This article presents an analysis of some of the methods for testing linear separability. A single layer perceptron neural network can be used for creating a classification model when the classes at...
The linear separability problem: some testing methods (2006)
This article presents an analysis of some of the methods for testing linear separability. A single layer perceptron neural network can be used for creating a classification model when the classes at...
Current trends on knowledge extraction and neural networks (2005)
Gongora, Mario Augusto, Elizondo, David
This article was presented in a special session of the ICANN 2005 on Neural Networks and Knowledge Extraction. It presents an overview of the current state of the art on the topic. This is an ongoing...
Current trends on knowledge extraction and neural networks (2005)
Gongora, Mario Augusto, Elizondo, David
This article was presented in a special session of the ICANN 2005 on Neural Networks and Knowledge Extraction. It presents an overview of the current state of the art on the topic. This is an ongoing...
A novel method for extracting knowledge from neural networks with evolving SQL queries (2005)
Gongora, Mario Augusto, Elizondo, David, Watson, T.
The work reported in this paper provides the research community with a reliable and robust way to discern the way in which an NN based system makes its decision. It helps researchers tackle the...
A novel method for extracting knowledge from neural networks with evolving SQL queries (2005)
Gongora, Mario Augusto, Elizondo, David, Watson, T.
The work reported in this paper provides the research community with a reliable and robust way to discern the way in which an NN based system makes its decision. It helps researchers tackle the...
New methods for testing linear separability (2002)
This paper introduces latest advances in the subject of linear separability. New methods for testing linear separability are introduced. This is a very important area of work which can help simplify...
New methods for testing linear separability (2002)
This paper introduces latest advances in the subject of linear separability. New methods for testing linear separability are introduced. This is a very important area of work which can help simplify...
Automatic- versus Manual- differentiation for non-linear inverse modeling (2000)
Elizondo, David, Faure, Christèle, Cappelaere, Bernard
Emerging tools for automatic differentiation (AD) of computer programs should be of great benefit for the implementation of many derivative-based numerical methods such as those used for inverse...
Automatic- versus Manual- differentiation for non-linear inverse modeling (2000)
Elizondo, David, Faure, Christèle, Cappelaere, Bernard
Emerging tools for automatic differentiation (AD) of computer programs should be of great benefit for the implementation of many derivative-based numerical methods such as those used for inverse...
Automatic- versus Manual- differentiation for non-linear inverse modeling (2000)
Elizondo, David, Faure, Christèle, Cappelaere, Bernard
Emerging tools for automatic differentiation (AD) of computer programs should be of great benefit for the implementation of many derivative-based numerical methods such as those used for inverse...