Machine-translated by Google. Questions are authored in English.
Top

Discussion

Why does likelihood weighting waste none of its samples?

  • A.It samples more often from the regions of higher probability
  • B.It rejects fewer samples by relaxing the evidence slightly
  • C.It fixes the evidence and weights each sample by its likelihood
  • D.It weights each variable by how likely it is to affect the query

Answer: C

Evidence variables are clamped rather than sampled, and each sample carries the product of the evidence likelihoods as its weight, so no sample is wasted. Performance still degrades when the evidence sits far downstream. Variable weighting, importance regions and relaxed evidence are different ideas. Understanding the weight as an importance-sampling correction explains both why it works and where it fails.

No comment is present. Be the first to comment.
Loading…

Post your comment

Please log in or register to post a comment.