Papers
Towards intelligent machines : Theories, technologies and experiments Optimization strategies for complex engineering applications MACHINE–LEARNING IN OPTIMIZATION OF EXPENSIVE BLACK–BOX FUNCTIONS Deep learning via Hessian-free optimization Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods Bayesian Optimization for Learning Gaits under Uncertainty An experimental comparison on a dynamic bipedal walker Autoencoders, Unsupervised … Read more