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How Many?
This poll is closed. |
| 25,000 to 50,000 |
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1 |
33.33% |
| 50,001 to 75,000 |
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0 |
0% |
| 75,001 to 100,000 |
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0 |
0% |
| 100,001 to 125,000 |
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0 |
0% |
| 125,001 to 150,000 |
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2 |
66.67% |
| Total: |
3 votes |
100% |
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bwolinsky
Registered: Jul 2008
Posts: 4546 |
04-24-12 10:35 PM
Quote from alexvnew:
CPU time is a terrible thing to waste...overfitting....
It's not overfitting because if you had 1000^5 possibilities the only way to solve a 5 dimensional problem like this is to find ranges by narrowing them down with one final exhaustive study, and that is how real financial research in the fields of artifical intelligence is done.
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bellman
Registered: Nov 2005
Posts: 534 |
04-25-12 04:59 PM
When you write 1000^5, do you mean 10^15 (as in a huge number) or is it some sort of lin alg notation meaning a 1000 by 5 matrix? Judging by your phrasing of the question, you mean the latter.
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bwolinsky
Registered: Jul 2008
Posts: 4546 |
04-25-12 09:10 PM
Quote from bellman:
When you write 1000^5, do you mean 10^15 (as in a huge number) or is it some sort of lin alg notation meaning a 1000 by 5 matrix? Judging by your phrasing of the question, you mean the latter.
The ranges start at 1 to 1000, so 1000^5 is how many possibilities the genetic algorithms must sort through to find the best ranges.
10^15 is the same value as 1000^5.
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bellman
Registered: Nov 2005
Posts: 534 |
05-17-12 02:21 AM
Was there a mathematical method to arrive at this number without knowing a) the data set & b) your genetic algorithms?
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