Your selections:
Derivative-free optimization and neural networks for robust regression
- Beliakov, Gleb, Kelarev, Andrei, Yearwood, John
An experiment in task decomposition and ensembling for a modular artificial neural network
- Ferguson, Brent, Ghosh, Ranadhir, Yearwood, John
Hybridization of neural learning algorithms using evolutionary and discrete gradient approaches
- Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil
- Ghosh, Ranadhir, Yearwood, John, Ghosh, Moumita, Bagirov, Adil
Hybrid wrapper-filter approaches for input feature selection using maximum relevance and Artificial Neural Network Input Gain Measurement Approximation (ANNIGMA)
- Huda, Shamsul, Yearwood, John, Stranieri, Andrew
Predicting Australian stock market index using neural networks exploiting dynamical swings and intermarket influences
- Pan, Heping, Tilakaratne, Chandima, Yearwood, John
- Pan, Heping, Tilakaratne, Chandima, Yearwood, John
From convex to nonconvex: A loss function analysis for binary classification
- Zhao, Lei, Mammadov, Musa, Yearwood, John
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