Feature extraction

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3 years ago 0 30
This post is about using OrderBook/PositionBook features as input to simple machine learning models after previous investigation into ...
3 years ago 0 31
In my previous post I talked about how I planned to use constrained optimization to create features from Oanda's OrderBook ...
4 years ago 0 31
Back in November last year I posted about Random Vector Functional Link (RVFL) networks here and here. Since ...
5 years ago 0 36
Continuing on from my Ideal Tau for Time Series Embedding post, I have now written an Octave function ...
8 years ago 0 34
Following on from my last post, I have recently been using the BayesOpt library to optimise my planned neural ...
9 years ago 0 35
Below is this second code update. % select rolling window length to use - an optimisable parameter via ...
9 years ago 0 36
Over the last few weeks I have been looking at using Runge-Kutta methods for the creation of features, ...
9 years ago 0 40
Following on from my last post I thought I would, as a first step, code up a “straightforward” Runge-Kutta ...
9 years ago 0 32
As stated in my previous post I have been focusing on getting some meaningful features as possible inputs ...
9 years ago 0 37
In my last post I mentioned that I was going away for the summer, but now I'm back. ...

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