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- corrected data as RCV1-v2. We benchmark several widely used supervised learning methods on RCV1 ... versions of the category assignments and taxonomy structures, via online appendices...
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- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. Point cloud ... important type of geometric data structure. Due to its irregular format, most researchers transform such...
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- have similar structural behavior. Roles should be automatically determined from the data, and could ... edges), unsupervised learning approach for automatically extracting structural roles from general network data. We demonstrate ... mining tasks: from exploratory data analysis to network transfer learning. Moreover, we compare network role...
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- Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed ... scalable algorithm that applies to real world data. The UMAP algorithm is competitive with ... arguably preserves more of the global structure with superior run time performance. Furthermore, UMAP ... general purpose dimension reduction technique for machine learning...