Abstract: This paper investigates the online identification and data clustering problems for mixed linear regression (MLR) model with two components, including the symmetric MLR, and the asymmetric ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
This project introduces a diffusion-based framework for symbolic regression, a task traditionally dominated by genetic programming and transformer models. We explore three distinct modeling approaches ...
A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...
Abstract: The conventional model predictive current control (MPCC) method is highly sensitive to motor parameters, resulting in decreased control performance when the model parameters are mismatched ...
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