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» Neural methods for non-standard data
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FLAIRS
2004
15 years 5 months ago
Indirect Encoding Evolutionary Learning Algorithm for the Multilayer Morphological Perceptron
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...
Jorge L. Ortiz, Roberto Piñeiro
ISMB
1993
15 years 5 months ago
Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition System
Wepropose a cooperative conceptual modelling environment in which two agents interact : the machineand the humanexpert. Theformer is able to extract knowledge from data using a sy...
Engelbert Mephu Nguifo, Jean Sallantin
CORR
2006
Springer
135views Education» more  CORR 2006»
15 years 4 months ago
Classification of Ordinal Data
Many real life problems require the classification of items into naturally ordered classes. These problems are traditionally handled by conventional methods intended for the class...
Jaime S. Cardoso
ICANN
2009
Springer
15 years 8 months ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
IJCNN
2006
IEEE
15 years 10 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho