Explain the two components of Bayesian logic program?



Explain the two components of Bayesian logic program?..

Answer / Mr Inder Kumar Maran

A Bayesian logic program consists of two main components: 1) Background knowledge, which represents the prior beliefs about the domain in first-order logic form. This knowledge is usually expressed as a set of Horn clauses that define relationships between objects and concepts. 2) Evidence or Query, which consists of facts or observations that are known or observed in the given problem. The goal is to update the belief state using Bayes' theorem based on the available evidence.

Is This Answer Correct ?    0 Yes 0 No

Post New Answer

More AI Machine Learning Interview Questions

What are the two classification methods that SVM ( Support Vector Machine) can handle?

1 Answers  


How do I become an expert in machine learning?

1 Answers  


Define what is Fourier Transform in a single sentence?

1 Answers  


What is a bayesian model?

1 Answers  


What is convex hull?

1 Answers  


What is semi-supervised Machine Learning?

1 Answers  


Why is naive bayes better than decision tree?

1 Answers  


What is an AdaGrad algorithm in machine learning?

1 Answers  


Can you explain what is the difference between inductive machine learning and deductive machine learning?

1 Answers  


Name some feature extraction techniques used for dimensionality reduction?

1 Answers  


What is Test set in machine learning?

1 Answers  


Explain the Algorithm Technique of Transduction in Machine Learning?

1 Answers  


Categories
  • AI Algorithms Interview Questions AI Algorithms (74)
  • AI Natural Language Processing Interview Questions AI Natural Language Processing (96)
  • AI Knowledge Representation Reasoning Interview Questions AI Knowledge Representation Reasoning (12)
  • AI Robotics Interview Questions AI Robotics (183)
  • AI Computer Vision Interview Questions AI Computer Vision (13)
  • AI Neural Networks Interview Questions AI Neural Networks (66)
  • AI Fuzzy Logic Interview Questions AI Fuzzy Logic (31)
  • AI Games Interview Questions AI Games (8)
  • AI Languages Interview Questions AI Languages (141)
  • AI Tools Interview Questions AI Tools (11)
  • AI Machine Learning Interview Questions AI Machine Learning (659)
  • Data Science Interview Questions Data Science (671)
  • Data Mining Interview Questions Data Mining (120)
  • AI Deep Learning Interview Questions AI Deep Learning (111)
  • Generative AI Interview Questions Generative AI (153)
  • AI Frameworks Libraries Interview Questions AI Frameworks Libraries (197)
  • AI Ethics Safety Interview Questions AI Ethics Safety (100)
  • AI Applications Interview Questions AI Applications (427)
  • AI General Interview Questions AI General (197)
  • AI AllOther Interview Questions AI AllOther (6)