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Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...
Paper Abstract: State-of-the-art machine learning models can be vulnerable to very small input perturbations that are adversarially constructed. Adversarial training is an effective approach to defend ...
labels.xlsx # Animal-level metadata (Group, Freezing %) │ ├── models/ # Modular Python scripts (optional if using notebook) │ ├── loocv_linear_regression.py ... notebook containing all model code ├── ...
In order to adjust the models for predicting soil property results from the pXRF data, two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR ...
Abstract: In this paper, simple upper bounds are derived on the frame and bit error probabilities of binary linear codes over Additive white Gaussian noise (AWGN ...
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