Probability Theory
Artificial Intelligence
Mathematical functions that describe the relative likelihood of continuous random variables taking on specific values.
Detailed Explanation
Probability Density Functions (PDFs) are mathematical tools used in artificial intelligence to describe the likelihood of a continuous random variable assuming specific values. Unlike discrete probabilities, PDFs assign a density to ranges of values, allowing the calculation of probabilities over intervals through integration. They are essential in modeling uncertainties and making predictions in AI systems involving continuous data.
Use Cases
- •Use case: Modeling sensor measurement uncertainties in autonomous vehicles for accurate environment perception.
Related Terms
Other terms in the Artificial Intelligence category