Machine learning in trading: theory, models, practice and algo-trading - page 1748
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So the work of the NS is somehow tied to Optimization?
Yes, on the optimization of fs (neurons). There are just a lot of them and they can be connected in different ways
ahahaha ))))
Of course rough, even in some places wrong, but only in some places. And clearer. Any optimization of extremum search takes full search for the longest one))))) GSF is a superposition of an unbound low-frequency process on a much higher-frequency one, search optimization is a logical thinning of the search. This makes it easier for me to understand everything else.
To some extent it is mandatory. You can only truly understand something that was created by yourself. I am trying to reproduce the original idea behind the concept of NS.
The concept is quite simple - any multidimensional function can be approximated by a composition of one-dimensional ones. I hope you have already invented the concept of "function")
The concept is quite simple - any multidimensional function can be approximated by a composition of one-dimensional ones. I hope you have already invented the concept of "function")
The concept is quite simple - any multidimensional function can be approximated by a composition of one-dimensional ones. I hope you have already invented the concept of "function")
Decomposition by minus one argument to one-dimensional is usually understandable, but how easy to explain how in this composition of one-dimensional to find extrema faster than full search.
Here, another thought to add to the piggy bank of understanding:
record a video with explanations, it's so incomprehensible
record a video with explanations, it's so unclear
I have not found an independent definition of "multidimensional function". There's a "distribution function" of probability theory, and within it, a type of "multivariate distribution functions" is considered, but there's no mention of MO technology.
Multidimensional function is an ordinary mathematical function, the area of definition of which is a multidimensional space. In the case of NS - it is the space of features.
I want to ask you as a mathematician mathematician - did you study mathematics at school at all)?