21 citations · 32 across the 7 of their papers we have counts for
3 papers · 1 filter
Empirical Loss Landscape Analysis of Neural Network Activation Functions
Anna Sergeevna Bosman, Andries Engelbrecht, Marde Helbig
Activation functions play a significant role in neural network design by enabling non-linearity. The choice of activation function was previously shown to influence the properties…
Assessing the Generalizability of a Performance Predictive Model
Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova +6
A key component of automated algorithm selection and configuration, which in most cases are performed using supervised machine learning (ML) methods is a good-performing predictive…
Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
Arné Schreuder, Anna Bosman, Andries Engelbrecht +1
The process of training feedforward neural networks (FFNNs) can benefit from an automated process where the best heuristic to train the network is sought out automatically by means…