Author of the publication

Using Support Vector Machines to Predict the Performance of MLP Neural Networks.

, , and . SBRN, page 201-206. IEEE Computer Society, (2008)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Selection of Models for Time Series Prediction via Meta-Learning., and . HIS, volume 87 of Frontiers in Artificial Intelligence and Applications, page 74-83. IOS Press, (2002)Frankenstein PSO applied to neural network weights and architectures., and . IEEE Congress on Evolutionary Computation, page 2452-2456. IEEE, (2011)Hybrid K-Means and Improved Self-Adaptive Particle Swarm Optimization for Data Clustering., and . IJCNN, page 1-7. IEEE, (2019)Quantum probabilistic associative memory architecture., , , and . Neurocomputing, (2019)Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss., , , , , and . CoRR, (2019)Meta-learning approaches to selecting time series models., and . Neurocomputing, (2004)Progress in intelligent systems design., and . Neurocomputing, (2016)River Flow Forecasting with Constructive Neural Network., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 1031-1036. Springer, (2005)Active selection of training instances for a random forest meta-learner., , , and . IJCNN, page 1-7. IEEE, (2013)Active Generation of Training Examples in Meta-Regression., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 30-39. Springer, (2009)