Title :
Banter on Bayes: debating the usefulness of Bayesian approaches to solving practical problems
Author_Institution :
California Univ., Berkeley, CA, USA
Abstract :
We consider the status of Bayesian statistical methods for the analysis of complex real-world problems. Most AI problems require a method for representing uncertainty. Currently, there is intense interest in the use of Bayesian reasoning, Bayesian belief networks, and other Bayesian methods for the modeling of uncertainty in many avenues of AI research.
Keywords :
Bayes methods; belief maintenance; inference mechanisms; probability; problem solving; statistical analysis; uncertainty handling; AI problems; Bayesian belief networks; Bayesian reasoning; Bayesian statistical methods; artificial intelligence; complex real-world problems; probability; problem solving; uncertainty handling; Bayesian methods; Biomedical imaging; Breast cancer; Genetics; History; Human immunodeficiency virus; Measurement uncertainty; Risk analysis; Statistical analysis; Statistics;
Journal_Title :
IEEE Expert
