Machine Learning Seminar Series Talk

Fuzzy Rules for Recursive Bayesian Filtering in Multi-Process State Models ABSTRACT Systems under the influence of uncertain dynamic processes can pose a distinct challenge for predictive estimators, especially in the case where there are multiple non-linear processes influencing the system state to varying degree. In a wide range of application domain problems, including sensing data and target tracking, there are complex system processes that occur simultaneously or consecutively at unknown intervals.