Abstract: An open-circuit voltage (OCV) model, which represents OCV as a function of state of charge (SOC), is essential for estimating the state of a battery. Typically, the OCV-SOC characteristic is ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...

Let $P(m, X, N)$ be an $m$-degree polynomial in $X\in\mathbb{R}$ having fixed non-negative integers $m$ and $N$. Essentially, the polynomial $P(m, X, N)$ is a result ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

Abstract: This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes ...

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Linear functions are an important concept for students to understand in math class. They can be represented using tables, graphs or equations. Teachers can use various activities to teach students how ...