mloss.org YCMLhttp://mloss.orgUpdates and additions to YCMLenMon, 24 Aug 2015 20:28:45 -0000YCML 0.2.2http://mloss.org/software/view/628/<html><p>YCML is a Machine Learning framework written in Objective-C, and also available for use in Swift.
The following algorithms are currently available:
</p>
<ul>
<li>
Gradient Descent Back-propagation
</li>
<li>
Resilient Backpropagation (RProp)
</li>
<li>
Extreme Learning Machines (ELM)
</li>
<li>
Forward Selection using Orthogonal Least Squares (for RBF Net)
</li>
<li>
Forward Selection using Orthogonal Least Squares with the PRESS statistic
</li>
</ul>
<p>Where applicable, regularized versions of the algrithms have been implemented.
</p>
<p>YCML also contains some optimization algorithms as support for deriving predictive models, although they can be used for any kind of problem:
</p>
<ul>
<li>
Gradient Descent (Single-Objective, Unconstrained)
</li>
<li>
RProp Gradient Descent (Single-Objective, Unconstrained)
</li>
<li>
NSGA-II (Multi-Objective, Constrained)
</li>
</ul></html>Ioannis ChatzikonstantinouMon, 24 Aug 2015 20:28:45 -0000http://mloss.org/software/rss/comments/628http://mloss.org/software/view/628/regressionneural networksmachine learningiosobjective cosxswift