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Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

We propose a simple optimal soft-input/soft-output symbol decoding algorithm for linear block codes which requires one forward recursion using a trellis. For many codes the decoding complexity is ...

Structured Linear Controlled Differential Equations (SLiCEs) are a new class of sequence models ... log(n), d_h^2)$ No DPLR-LNCDEs $\mathcal{O}(r d_h^2)$ $\mathcal{O}(n r d_h^2)$ $\mathcal{O}(\log(n), ...

based on appropriately designed software metrics and 2) development of intricate regression models for count data, to allow effective software reliability data modeling and prediction. Surprisingly, ...