Efficient combinatorial optimization by quantum-inspired parallel annealing in analogue memristor crossbar
US-2024419761-A1 · Dec 19, 2024 · US
US8990145B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8990145-B2 |
| Application number | US-201113214105-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 19, 2011 |
| Priority date | Oct 5, 2010 |
| Publication date | Mar 24, 2015 |
| Grant date | Mar 24, 2015 |
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A first data mining model and a second data mining model are compared. A first data mining model M 1 represents results of a first data mining task on a first data set D 1 and provides a set of first prediction values. A second data mining model M 2 represents results of a second data mining task on a second data set D 2 and provides a set of second prediction values. A relation R is determined between said sets of prediction values. For at least a first record of an input data set, a first and second probability distribution is created based on the first and second data mining models applied to the first record. A distance measure d is calculated for said first record using the first and second probability distributions and the relation. At least one region of interest is determined based on said distance measure d.
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The invention claimed is: 1. A method for comparing a first data mining model and a second data mining model, comprising: providing a first data mining model M 1 representing results of a first data mining task on a first data set D 1 , wherein the first data mining model provides a set of first prediction values; providing a second data mining model M 2 representing results of a second data mining task on a second data set D 2 , wherein the second data mining model provides a…
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