Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
IEEE

Evaluating Classification Model Against Bayes Error Rate

Abstract: For a classification task, we usually select an appropriate classifier via model selection. How to evaluate whether the chosen classifier is optimal? One ...
IEEE

PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors

Abstract: We introduce a new and rigorously-formulated PAC-Bayes meta-learning algorithm that solves few-shot learning. Our proposed method extends the PAC-Bayes framework from a single-task setting ...
GitHub

Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection (CVPR2025)

This repository contains source code for Bayes-PFL implemented with PyTorch （Accepted by CVPR 2025）. Recently, vision-language models (e.g. CLIP) have demonstrated remarkable performance in zero-shot ...