A Library for Online Learning Algorithms
LIBOL is an open-source library that consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. It includes two categories of online learning methods: regular linear online learning algorithms and kernel-based online learning algorithms. <more...>
The current release (Version 0.2.3) of LIBOL can be obtained from here.
The new beta version (version 0.2.3) is now availabe! It has been made fully compatibly with the Octave environement across multiple platforms.
The new beta version (version 0.2.0) is now availabe! It includes both MATLAB and C implementations, and support both binary and multiclass classification.
Dr Hoi gave the tutorial for "Online Learning for Big Data Mining" at SDM2013. The slides are now available online!
The MATLAB beta version (version 0.1.0) is now availabe!
The MATLAB alpha version is now availabe for testing upon email request. The beta version will be released very soon!