Your selections:
A data mining application of the incidence semirings
- Abawajy, Jemal, Kelarev, Andrei, Yearwood, John, Turville, Christopher
Performance evaluation of multivariate non-normal process using metaheuristic approaches
- Ahmad, S., Abdollahian, Mali, Bhatti, M.I., Huda, Shamsul, Yearwood, John
New algorithms for multi-class cancer diagnosis using tumor gene expression signatures
- Bagirov, Adil, Ferguson, Brent, Ivkovic, Sasha, Saunders, Gary, Yearwood, John
A global optimization approach to classification
- Bagirov, Adil, Rubinov, Alex, Yearwood, John
An algorithm for clustering based on non-smooth optimization techniques
- Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John
A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems
- Bagirov, Adil, Yearwood, John
Using global optimization to improve classification for medical diagnosis and prognosis
- Bagirov, Adil, Rubinov, Alex, Yearwood, John
Unsupervised and supervised data classification via nonsmooth and global optimisation
- Bagirov, Adil, Rubinov, Alex, Sukhorukova, Nadezda, Yearwood, John
- Bagirov, Adil, Barton, Andrew, Mala-Jetmarova, Helena, Al Nuaimat, Alia, Ahmed, S. T., Sultanova, Nargiz, Yearwood, John
Derivative-free optimization and neural networks for robust regression
- Beliakov, Gleb, Kelarev, Andrei, Yearwood, John
Application of rank correlation, clustering and classification in information security
- Beliakov, Gleb, Yearwood, John, Kelarev, Andrei
- Bolger, Fergus, Stranieri, Andrew, Wright, George, Yearwood, John
Optimization of multiple classifiers in data mining based on string rewriting systems
- Dazeley, Richard, Kelarev, Andrei, Yearwood, John, Mammadov, Musa
Modular neural network design for the problem of alphabetic character recognition
- Ferguson, Brent, Ghosh, Ranadhir, Yearwood, John
Optimization of matrix semirings for classification systems
- Gao, David, Kelarev, Andrei, Yearwood, John
- Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John, Bagirov, Adil
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
- Ghosh, Ranadhir, Ghosh, Moumita, Yearwood, John
A new scoring system in Cystic Fibrosis : Statistical tools for database analysis - A preliminary report
- Hafen, Gaudenz, Hurst, Cameron, Yearwood, John, Smith, Julie, Dzalilov, Zari, Robinson, P. J.
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