This is a project for Incremental Anomaly Detection, which is written in MATLAB. The used techniques including: incremental LDA, incremental SVM, SMOTE, hard negative mining.

MATLAB Implementation of Twin Support Vector Machines

Classifier to find the fetal heart rate pattern code using the UCI Cardiotocography Data Set

The implementation of some machine learning algorithms

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Hashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition

An implementation of SVM+

Mulitnomial Logistic Regression using Regularized Dual Averaging (RDA)

This is a code for nonparallel support vector machine model. You could use these code to construct classification model based on the recently proposed nonparallel support vector machine method.

Automatically exported from code.google.com/p/tmsvm

Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm

A demo of a Kernel Perceptron Training and Testing Algorithm written in Matlab

A simple implementation of convolutional networks in Matlab

Algorithm implementations and homework solutions for the Stanford's online courses

a simple perceptron using Rosenblatt training algorithm.

Perceptron Algorithm Implementation