Robotics
高斯混合回归
Gaussian Mixture RegressionA probabilistic regression technique used to model complex, non-linear relationships by representing the output distribution as a weighted sum of Gaussian components. / 一种概率回归技术，通过将输出分布表示为高斯分量的加权和来建模复杂的非线性关系。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 08:01:02
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Main parameters and performance indicators
Gaussian Mixture Model (GMM): A probabilistic model that assumes all data points are generated from a mixture of a finite number of Gaussian distributions with unknown parameters.Regression Function: A function that maps input data to output data, approximating the relationship between demonstration trajectories and robot actions.
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Related literature
ranked by community starsRobotic learning from demonstration enabled by improved gaussian mixture model and gaussian mixture regressionOpen source
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1 recordsRecord title: Gaussian Mixture Regression.
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