Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm
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Updated
Jun 2, 2018 - MATLAB
Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm
Deep Learning Algorithm for Computer Vision with a New Technique and Concept: PIDC-NN for Binary Classification Tasks in a Coal Preparation Plant (MinerNet)
MATLAB implementation of a decision tree based on ID3 capable of binary classification and handling of continuous features
A collection of assignments and a project completed for the course 'Introduction to Image Processing'
Implemented Kernel SVM using Quadratic Programming and Stochastic Gradient Descent
Matlab flower classification using supervised learning with a Perceptron Neural Network
Pareto-optimal data compression for binary classification tasks
This repository compares the performance of Adaline, Logistic Regression, and Perceptron models on binary classification tasks using linearly, non-linearly, and marginally separable datasets from the Iris dataset. It includes MATLAB implementations, 10-fold cross-validation, and visualizations of decision boundaries and MSE histories.
An implementation of the Proximal Support Vector Machine model using Octave, used for binary classification.
Binary classification of Diabetic Retinopathy using SVM in MATLAB with fundus image features.
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