@misc{wang2020intuitive, title={An Intuitive Tutorial to Gaussian Processes Regression}, author={Jie Wang}, year={2020}, eprint={2009.10862}, archivePrefix={arXiv}, primaryClass={stat.ML} } This ...
As mentioned earlier, GPR can handle categorical predictor variables by using one-hot encoding. A regression technique that is closely related to Gaussian process regression is kernel ridge regression ...
Abstract: Probabilistic machine learning models are distinguished by their ability to integrate prior knowledge of noise statistics, smoothness parameters, and training data uncertainty. A common ...
Abstract: 3D Gaussian Splatting (3DGS) has recently revolutionized novel view synthesis and provided a new paradigm for photorealistic Simultaneous Localization and Mapping (SLAM). However, current ...
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