BAYESIAN INFERENCE
Publisher Summary
This chapter discusses the basic principles of Bayesian inference and some epistemological issues that emerge from this formalism. It highlights some of the difficulties associated with using the logical approach instead of the probabilistic approach. The chapter discusses the difficulties associated with the nonmodularity of plausible inferences, that is, the impropriety of drawing conclusions from certain truths in the database without checking other truths that may reside there. It also discusses the problem of query, sensitivity, which stems not from neglecting facts that were learned but from neglecting to specify the facts that could have been learned. Formalisms that ignore the query ...
Get Probabilistic Reasoning in Intelligent Systems now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
