NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Distance Learning and Attribute Importance Analysis by Linear Regression on Idealized Distance Functions

Singh, Rupesh Kumar 31 May 2017 (has links)
No description available.
Computer Engineering
Computer Science
Distance learning
move bad neighbors out
global class gap
two-constant distance
weighted distance function
Euclidean
Manhattan

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