machine

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

SANDIA Reports

Reports Optimization Strategies for Complex Engineering Applications Dakota Software Training Optimization Efficient and Robust Gradient Enhanced Kriging Emulators  

Websites

Alex Minnaar : Deep Learning Basics: Neural Networks, Backpropagation and Stochastic Gradient Descent Neural Networks – A Systematic Introduction – Raul Rojas Neural Networks and Deep Learning –  Michael Nielsen UFLDL Tutorial

Website

UFLDL Tutorial: Deepa Learning Tutorial DeepLearning 0.1 documentation DeepLearning 0.1 : Contents Artificial neural network Types of artificial neural network Deep learning Multilayer perceptrons Sigmoid function Generalised logistic function Logistic regression Softmax function Multiple kernel learning Sparse matrix Rectifier (Neural Network) Generalized additive model Additive Model Backfitting algorithm A Complete Tutorial on Tree Based Modeling … Read more

Gaussian Process & Genetic Algorithm

Optimization of Gaussian Process Models with Evolutionary Algorithms A genetic Gaussian process regression model based on memetic algorithm Accelerating Evolutionary Algorithms with Gaussian Process Fitness Function Models The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm A COMPARISON BETWEEN GAUSSIAN PROCESS EMULATION … Read more