Multiclass

A fast Gentle Adaboost classifier with two different weak-learners: i) decision stump and ii) perceptron. Multiclass is performed with the one-against-all strategy.Usage ------ model = gentleboost_model(X , y , [T] , [options]); Inputs ------- X Features matrix (d x N) y Labels (1 x N). If y... Platforms: Matlab

- Allows for >=2 classes- Requires only base MATLAB (no toolboxes needed)- Assumes that the data is complete (no missing values)- Has been verified against statistical softwareWarning:- if pooled covariance could not be calculated matrix values will be ("Inf") (no error)-requires Matlab >=7.6... Platforms: Matlab

LPCforSOS is a machine learning framework with a special focus on structured output spaces and pairwise learning. It supports currently multiclass, ordinal, hierarchical, multi-label and label ranking classification settings. Platforms: Windows, Mac, Linux

Theodoros Giannakopouloshttp:/www.di.uoa.gr/~tyiannak---------------------------------------Feature extraction (as in most pattern recognition problems) is maybe the most important step in audio classification tasks. The provided Matlab code computes some of the basic audio features for groups of... Platforms: Matlab

PyML is an interactive object oriented framework for machine learning written in Python. PyML focuses on SVMs and other kernel methods. It is tested on Linux and Mac OS X. Features?*A* * Classifiers: support vector machines, nearest neighbor, ridge regression * Multi-class methods... Platforms: Mac

A classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. This software is a Java implementation of a maximum entropy... Platforms: Mac