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Found 3 papers, 1 papers with code
Supervised Feature Subset Selection and Feature Ranking for Multivariate Time Series without Feature Extraction
We introduce supervised feature ranking and feature subset selection algorithms for multivariate time series (MTS) classification.
Nationality Classification Using Name Embeddings
Through our analysis of 57M contact lists from a major Internet company, we are able to design a fine-grained nationality classifier covering 39 groups representing over 90% of the world population.
Automatically Redundant Features Removal for Unsupervised Feature Selection via Sparse Feature Graph
The redundant features existing in high dimensional datasets always affect the performance of learning and mining algorithms.
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