filtering

Badong C Kalman Filtering Under Information Theoretic Criteria 2023 | 9.99 MB N/A | 304 Pages Title: Kalman Filtering Under Information Theoretic Criteria Author: Badong Chen Year: 2023 Description: This book provides several efficient Kalman filters (linear or nonlinear) under information...

| 328 | In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms...

Bayesian Filtering and Smoothing | 436 | Simo Särkkä and Lennart Svensson | 2013 | ‎ Cambridge University Press; 1st edition | ‎ 978-1107619289 Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple observational inputs...