AdaBoost, short for Adaptive Boosting, is a machine learning algorithm that combines multiple "weak" classifiers to create a powerful ensemble classifier. The algorithm iteratively trains weak ...
This repository contains Python code for a K-nearest neighbors (KNN) classifier implemented with Adaboosting. K-nearest neighbors is a simple yet effective machine learning algorithm for ...
Abstract: In this paper, an approach of QR code detection using histograms of oriented gradients (HOG) and AdaBoost is proposed. There are two steps in our approach. In the first step, feature vectors ...
ABSTRACT: Because of the increasing attention on environmental issues, especially air pollution, predicting whether a day is polluted or not is necessary to people’s health. In order to solve this ...
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