Ordinal Regression and Classification Algorithms

Online Semi-supervised Learning + Online Heterogeneous Transfer Learning

Bayesian (Semi-)Supervised Multilabel Learning

FR-TSVM

MATLAB implementation of the semi-supervised kernel learning using relative constraints (SKLR) algorithm

Semi-Supervised SVM via Self-Training with Adaptive Regularization (STAR-SVM)

This is a project of my paper related to active learning and graph based semi-supervised learning, which is published on ICME 2014. The project is written by matlab

Implemented Semi Supervised Learning with Logistic Regression

Kernel based Semi-Supervised Regression using Multiobjective Optimization

Semi-supervised learning for text classification using EM and multinomial boolean naïve Bayes

Semi-Supervised Learning

Semi-Supervised multi-class classification, Task 4 ETH Zürich, Intro ML

A Probabilistic Ordinal Regression Gaussian Process model