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View all- Schäfer DHüllermeier E(2018)Dyad ranking using Plackett---Luce models based on joint feature representationsMachine Language10.1007/s10994-017-5694-9107:5(903-941)Online publication date: 1-May-2018
We present a systematic approach to the mathematical treatment of the t-distributed stochastic neighbor embedding (t-SNE) and the stochastic neighbor embedding (SNE) method. This allows an easy adaptation of the methods or exchange of their respective ...
The aim of dimensionality reduction is to obtain the faithful low-dimensional representations of high-dimensional data by preserving the data quality. It is beneficial to better visualize the high-dimensional data and improve the ...
Stochastic neighbor embedding (SNE) and its variants are methods of dimensionality reduction (DR) that involve normalized softmax similarities derived from pairwise distances. These methods try to reproduce in the low-dimensional embedding space the ...
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