Highly Influenced

@article{Tio2001PredictingTF, title={Predicting the Future of Discrete Sequences from Fractal Representations of the Past}, author={Peter Ti{\~n}o and Georg Dorffner}, journal={Machine Learning}, year={2001}, volume={45}, pages={187-217} }

- Published 2001 in Machine Learning
DOI:10.1023/A:1010972803901

We propose a novel approach for building finite memory predictive models similar in spirit to variable memory length Markov models (VLMMs). The models are constructed by first transforming the n-block structure of the training sequence into a geometric structure of points in a unit hypercube, such that the longer is the common suffix shared by any two n-blocks, the closer lie their point representations. Such a transformation embodies a Markov assumption—n-blocks with long common suffixes are… CONTINUE READING

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