Question

 

Explain Bayes classifier with the help of a suitable example. Also discuss its properties.

10 May 2025
Answer :
Word Count : 311

The Bayes classifier is a probabilistic classifier based on Bayes’ Theorem, which relates current evidence to prior knowledge to make predictions. In the context of Digital Image Processing and Computer Vision, it is commonly used for tasks like object recognition and image classification.

Bayes' Theorem is given by:

$$
P(C|X) = \frac{P(X|C)P(C)}{P(X)}
$$

Where:

* $P(C|X)$ is the posterior probability of a class $C$ given the observed data $X$.
* $P(X|C)$ is the likelihood, ___ ______ __________ __________ ____.
_____ ____ _____ ________ ___ ________ _____ _______ ________ ___ _________.
______ ____ __________ _______ __________.
____ __________ ____ __________ __________.
___ ___ _________ __________ ________ _______ ________.
_______ __________ _________ __________ _____ ___ ___.
____ ______ _________ ____ _______ ______ _________ __________.
______ _______ ________ ___ __________ _____ ___ _______ ________ ____.
_______ ________ _______ _______ __________ _____ _________ _________ _____ ____ _____ _______.
______ _______ ____ ___ __________ _______ ___ _________.
___ ____ ___ ____ ______ ______ _____ _________ _________ ____.
______ ____ _____ _________ _________ _______.
______ ___ ________ ____ ________ ______ ________ ___ _____.
___ __________ _______ ___ ______ _____ _________ ____ ___.
__________ _____ __________ ______ __________ __________ _____ _________ ___ ________.
_________ ________ ________ ___ _______ _________ ________ __________ ____ ______ __________ ____.
_________ _________ _____ ______ ____ ______ _________ __________.
____ ______ ______ __________ _________ _______ ___ ___ ________ _________ _____ ________.
_____ ____ ________ _________ ___ ___ ___ ___ __________ ________.
______ _________ ______ _______ _____ _________ ____.
__________ _________ _______ ___ _____.
____ ________ ___ ______ _______ _______ ____ ____ __________ _____.
_________ __________ __________ _______ _______ __________ ________ __________.
____ ________ _____ ____ _______ ____.
____ ________ ________ _______ _____ ____ ________ ______ _________.
_________ _______ ________ __________ ____.
_________ _____ ___ ___ ________ ____ ________ _________.
_____ _________ __________ ___ __________ ______ _____.
______ _________ _____ _____ ____.
Get Full Answer on WhatsApp

IGNOU NEWS
Assignment Submission Last Date Extended Till 30 June 2026 Click Here★★★IGNOU June 2026 TEE Date Sheet Released Click Here★★★
Top
📞
Call Support Instant phone assistance  Explain Bayes classifier with the help of a suitable example
🟢
WhatsApp Chat Fast live messaging
Email Us Business enquiries & support