Feature extraction

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4 years ago 0 105
This post is about using OrderBook/PositionBook features as input to simple machine learning models after previous investigation into ...
4 years ago 0 121
In my previous post I talked about how I planned to use constrained optimization to create features from Oanda's OrderBook ...
5 years ago 0 122
Back in November last year I posted about Random Vector Functional Link (RVFL) networks here and here. Since ...
6 years ago 0 119
Continuing on from my Ideal Tau for Time Series Embedding post, I have now written an Octave function ...
9 years ago 0 111
Following on from my last post, I have recently been using the BayesOpt library to optimise my planned neural ...
10 years ago 0 112
Below is this second code update. % select rolling window length to use - an optimisable parameter via ...
10 years ago 0 115
Over the last few weeks I have been looking at using Runge-Kutta methods for the creation of features, ...
10 years ago 0 110
Following on from my last post I thought I would, as a first step, code up a “straightforward” Runge-Kutta ...
10 years ago 0 111
As stated in my previous post I have been focusing on getting some meaningful features as possible inputs ...
10 years ago 0 131
In my last post I mentioned that I was going away for the summer, but now I'm back. ...

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