Topic: "sequential-bayesian-inference"
burkh4rt/Filtered-Stochastic-Newton
We apply sequential Bayesian inference with a discriminatively specified observation model to the subsampled gradients and Hessians used by the stochastic Newton method for online optimization.
Language: Python - Size: 20.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
alireza-mahmoodi/Kalman-Filter
Application of Kalman filter to signal trend tracking, robot tracking and localization, measurement fusion of GPS and WiFi.
Language: Jupyter Notebook - Size: 953 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
