Code for our ICRA paper "Autonomous Navigation in Unknown Environments with Sparse Kernel-based Occupancy Mapping"

A set of perceptron algorithms

📌 1. Compute the Mahalanobis distance from a centroid for a given set of training points. 2. Implement Radial Basis function (RBF) Gaussian Kernel Perceptron. 3. Implement a k-nearest neighbor (kNN) classifier

Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.

Built from scratch SVM, Kernel Perceptron and Neural Network implemented to recognize handwritten digits from the mnist dataset. Includes jupyter notebook of code, mnist handwritten digit data and a PDF of the code & results.

Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more

Kernel Perceptron (Matlab)

Implementazione dell'algoritmo di classificazione Perceptron in forma duale, con l'utilizzo delle funzioni kernel: lineare, polinomiale ed RBF