<commit_before><!DOCTYPE html>
<html>
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		MathJax.Hub.Config({
		  tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}
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		When $a \ne 0$, there are two solutions to \(ax^2 + bx + c = 0\) and they are $$x = {-b \pm \sqrt{b^2-4ac} \over 2a}.$$
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	<body>
		<!-- USEFULL PACKAGES
			Numeric.js
			Tangle
			Processing.js
			GitHub pages and Jekyll blogs
		-->
		<!-- TO DO
			Kalman
			Perceptron
			Neuron max frequency
			Receptive fields for contrast lines
			Oja's learning
			Recurrent network and PCA
			GARCH efficient frontier
			Restricted Boltzmann Machine
			Robust regression
			Morphing map
			Model for auditory neurons (function of theta)
			TD(lambda), bandit learning
			Hodgkin Huxley for Na+
			Dynamic system convergence to circular attractor
			Coin flipping and bayesian estimation
		-->
		<div>
			<h3>Winner-Take-All algorithm : <a href="demos/wta.html">WTA</a></h3>
		</div>
	</body>
</html><commit_msg>tiny improvement to index.html (main) page<commit_after><!DOCTYPE html>
<html>
	<head>
		<script type="text/x-mathjax-config">
		MathJax.Hub.Config({
		  tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}
		});
		</script>
		<script type="text/javascript" async src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-MML-AM_CHTML"></script>
		<!--<p>
		When $a \ne 0$, there are two solutions to \(ax^2 + bx + c = 0\) and they are $$x = {-b \pm \sqrt{b^2-4ac} \over 2a}.$$
		</p>-->
		<script type="text/javascript" src="https://ajax.googleapis.com/ajax/libs/jquery/1.3.2/jquery.min.js"></script>
		<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.3.0/Chart.bundle.min.js"></script>
		<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/numeric/1.2.6/numeric.js"></script>
	</head>
	<body>
		<!-- USEFULL PACKAGES
			Numeric.js
			Tangle
			Processing.js
			GitHub pages and Jekyll blogs
		-->
		<!-- TO DO
			Kalman
			Perceptron
			Neuron max frequency
			Receptive fields for contrast lines
			Oja's learning
			Recurrent network and PCA
			GARCH efficient frontier
			Restricted Boltzmann Machine
			Robust regression
			Morphing map
			Model for auditory neurons (function of theta)
			TD(lambda), bandit learning
			Hodgkin Huxley for Na+
			Dynamic system convergence to circular attractor
			Coin flipping and bayesian estimation
		-->
		<div>
			<h3>Winner-Take-All clustering : <a href="demos/wta.html">demo</a></h3>
			<h3>Gaussian Mixture Model (GMM) fit with EM : demo to be added</h3>
			<h3>Gaussian Mixture Model (GMM) fit with Gibbs sampling : demo to be added</h3>
			<h3>Hidden Markov Model (HMM) fit with Baum-Welch : demo to be added</h3>
		</div>
	</body>
</html>
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