Publications

Genetic Programming – Computers using “Natural Selection” to generate programs The Future of Genetic Programming – slides

Publications

An As-Short-As-Possible Introduction to the Least Squares, Weighted Least Squares and Moving Least Squares Methods for Scattered Data Approximation and Interpolation THE APPROXIMATION POWER OF MOVING LEAST-SQUARES Moving Least Squares Approximation Moving Least-squares Approximations for Linearly-solvable MDP Surfaces generated by Moving Least Squares Methods Least Squares Methods – What is SPH ? MOVING LEAST SQUARES … Read more

References

An As-Short-As-Possible Introduction to the Least Squares, Weighted Least Squares and Moving Least Squares Methods for Scattered Data Approximation and Interpolation

Chloé-Agathe Azencott

Researcher at the Centre for Computational Biology (CBIO) of Mines ParisTech, Institut Curie and INSERM Machine learning for therapeutic research

Iain Murray

School of Informatics, University of Edinburgh Teaching by Iain Murray Introduction to Machine Learning – video Publications by Iain Murray MLPR class notes Iain Murray’s other webpages and links Machine Learning – University of Edinburgh Iain Murray’s articles on arXiv  

Ed Snelson

Gatsby Computational Neuroscience Unit Ed Snelson’s Publications  

Mikkel N. Schmidt

Mikkel N. Schmidt, Ph.D. Associate Professor Technical University of Denmark DTU Compute Section for Cognitive Systems Publications

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