System and a method of generating a training set of data for training a machine-learning algorithm
US-2024232709-A1 · Jul 11, 2024 · US
US8949249B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8949249-B2 |
| Application number | US-81570210-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 15, 2010 |
| Priority date | Jun 15, 2010 |
| Publication date | Feb 3, 2015 |
| Grant date | Feb 3, 2015 |
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Techniques to search for data elements in a distributed computing environment are described. An apparatus may comprise a processor and a memory unit communicatively coupled to the processor. The memory unit may store a correlation module that when executed by the processor is operative to determine a target rank position at a target percentile rank within a total data set. The correlation module may determine a target data item at the target rank position for the total data set using candidate data items at candidate rank positions for each of multiple sorted data subsets of the total data set, and correlation values associated with each of the candidate data items. Other embodiments are described and claimed.
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The invention claimed is: 1. A computer-implemented method, comprising: receiving a target percentile rank to identify a target rank position of a target data item; determining the target rank position at the target percentile rank within a total data set distributed between one or more processors; dividing the total data set into a plurality of data subsets; allocating a data subset of the total data set to each processor; sorting each allocated data subset to form sorted…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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