Abstract: Learning-based control methods for industrial processes leverage the repetitive nature of the underlying process to learn optimal inputs for the system. While many works focus on linear ...

Abstract: A new approach to the design of robust adaptive beamforming is introduced. The essence of the new approach is to estimate the difference between the actual and presumed steering vectors and ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The project automatically fetches the latest papers from arXiv based on keywords. The subheadings in the README file represent the search keywords. Only the most recent articles for each keyword are ...

Sequential Data Poisoning in LLM Post-Training Jack Sanderson , Yihan Wang , Xiaoqian Lu , Gautam Kamath , Yiwei Lu Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction ...