Algorithms that allow computers to evolve behaviors based on empirical data. Approaches include genetic programming, artificial neural networks, decision trees, support vector machines, and cluster analysis.

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139 views

selecting test data for neural networks

I have been working on a neural network based on certain technical indicators. As people familiar with neural networks would know after developing a hypothesis, the developer is also supposed to ...
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1answer
119 views

How to perform Empirical Mode Decomposition?

I am trying to use the EMD applied to EURUSD open price to train a machine learning algo (RVM). I have run only once the EMD on my training set and once on the training+test set. The results on the ...
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0answers
391 views

How to better understand trading signals?

I am looking to get a better understanding of an output from a trading strategy. Basically I have a daily equity curve lets call it $Y_t$. I have defined a bunch of independent variables $X_{it}$ that ...
4
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0answers
450 views

Algorithms for predicting a couple points in the future

I'm familiar with supervised learning algorithms like regression and neural networks which look at a bunch of input points and learn a function which outputs a value (the value varying depending on ...