Month: July 2017
Gaussian Process & Genetic Algorithm
Evolving Optimal Neural Networks Using Genetic Algorithms with Occam’s Razor – Byoung-Tak Zhang, Heinz Miihlenbeinl – Complex Systems 7 (1993) 199-220
Journals
Complexes Systems – founded by Stephen Wolfram in 1987 Aerospace Central Research International Journal of Applied Mathematics and Computer Science Cambridge – AI EDAM Journal of Machine Learning Research International Association for Pattern Recognition (IAPR) – Publications
Keith Dalbey
Video : UQ12 – MS1-3 Effective and Efficient Handling of Ill-Conditioned Correlation Matrices in Kriging and Gradient Enhanced Kriging Emulators through Pivoted Cholesky Factorization Effective & Efficient Handling of Ill – Conditioned Correlation Matrices in Kriging & Gradient Enhanced Kriging Emulators Through Pivoted Cholesky Factorization Efficient and Robust Gradient Enhanced Kriging Emulators Using Statistical and … Read more
Gaussian Process : Papers
A Metamodeling Method Using Dynamic Kriging and Sequential Sampling Scalable Gaussian Process Regression Using Deep Neural Networks VARIATIONAL AUTO-ENCODED DEEP GAUSSIAN PROCESSES Deep Kernel Learning Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation Deep Gaussian Processes for Regression using Approximate Expectation Propagation Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs Introduction to … Read more
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
Gaussian Processes for Regression and Optimisation
Phillip Boyle
Deep Gaussian Processes and Variational Propagation of Uncertainty
Andreas Damianou