Discussion
Why is exact inference in Bayesian networks hard in general?
Answer: A
Exact inference is NP-hard in general, though polytrees admit linear-time inference, so the difficulty lives in the loops. Storage, evidence handling and numerical error are real engineering concerns but are not the source of the complexity result. Knowing that the hardness is structural, and that a whole class of networks escapes it, is what makes approximate methods a considered choice rather than a retreat.
No comment is present. Be the first to comment.
Loading…
Post your comment
Please log in or register to post a comment.
Examination Categories
- SSC Exams
- Banking Exams
- Teaching Exams
- Civil Services Exams
- Railways Exams
- Engineering Recruitment Exams
- Defence Exams
- State Government Exams
- Police Exams
- Insurance Exams
- Nursing Exams
- Other Government Exams
- NRA CET
- PG Entrance Exams
- Campus Placement
- MBA Entrance Exams
- CUET and UG Entrance
- Judiciary Exams
- Regulatory Body Exams
- Software Development