Abstract: Traditional techniques for predicting Customer Lifetime Value (CLV), such as RFM and linear regression, typically fall short when it comes to managing large datasets, identifying non-linear ...
xRFM is a scalable implementation of Recursive Feature Machines (RFMs) optimized for tabular data. This library provides both the core RFM algorithm and a tree-based extension (xRFM) that enables ...
Abstract: Recent advances in scene understanding benefit a lot from depth maps because of the 3D geometry information, especially in complex conditions (e.g., low light and overexposed). Existing ...
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