In this paper, we focus on how to select a good knowledge source when there are multiple labelled datasets available. A method to estimate the divergence ...
In this paper, we focus on how to select a good knowledge source when there are multiple labelled datasets available. A method to estimate the divergence ...
This paper focuses on how to select a good knowledge source when there are multiple labelled datasets available and provides a method to estimate the ...
Mar 19, 2024 · We showcase that distinct distances can give different results on similar data. Through this guide, we aim to help researchers to use, interpret ...
Sep 30, 2024 · In comparison to our method, we use shapelets as a distance measure between datasets and not directly to train models. For the source selection, ...
For instance, transferring knowledge across similar domains should intuitively be easier than across distant ones. Likewise, given a choice of various datasets ...
Mar 14, 2016 · A distance-based algorithm interacts with the data through a PI SP that learns data-dependent distance measures from the input data points.
In this paper, we focus on how to select a good knowledge source when there are multiple labelled datasets available. A method to estimate the divergence ...
A knowledge graph (KG), a special form of semantic network, integrates fragmentary data into a graph to support knowledge processing and reasoning.
Feb 11, 2014 · I have two datasets (tracks) with points in x/y which represent GPS positions. I want to analyze the distance between both tracks.
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