论文标题
自动化学习:在随机基础函数上的A*搜索算法的实现
Automated Learning: An Implementation of The A* Search Algorithm over The Random Base Functions
论文作者
论文摘要
这封信解释了一种用于查找一组基础功能的算法。该方法旨在根据一些基本功能捕获数据集的领先行为。 A-Star搜索的实现将有助于找到这些功能,而梯度下降在每个搜索步骤中优化了功能的参数。我们将展示所得图,以将外推与看不见的数据进行比较。
This letter explains an algorithm for finding a set of base functions. The method aims to capture the leading behavior of the dataset in terms of a few base functions. Implementation of the A-star search will help find these functions, while the gradient descent optimizes the parameters of the functions at each search step. We will show the resulting plots to compare the extrapolation with the unseen data.