Welcome to the Supervised and Deep Learning Algorithms repository! This repository is a comprehensive collection of implementations and explanations of various supervised and deep learning algorithms, ...

a learning algorithm can be thought of as searching through the space of hypotheses for a hypothesis function that works well on the training set, and also on new examples that it hasn’t seen yet to ...

In supervised learning, the algorithm is given a set of input-output pairs and learns to identify the mapping between them. For instance, it could be trained to recognize handwritten characters by ...

Supervised learning algorithms are designed to learn from labeled data by analyzing input-output pairs and identifying patterns and relationships. The choice of supervised learning algorithm depends ...

This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors ...

The supervised learning algorithm with one normal sample in every class is used in many domains. However the algorithm isnpsilat normal and will influence the result. Because there is only one normal ...

Abstract: We present an algorithm for multiclass Semi-Supervised learning which is learning from a limited amount of labeled data and plenty of unlabeled data. Existing semi-supervised algorithms use ...