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 ...

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 ...

Machine learning is a branch of artificial intelligence that includes algorithms for automatically creating models from data. At a high level, there are four kinds of machine learning: supervised ...

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 ...