Then, an online-verifiable initial excitation-based dual-integrator-based learning algorithm is first proposed for establishing data-driven learning algorithm. The optimal data-driven control policy ...

"The study identified three managerial mechanisms—learning, reflection, and alignment—which strongly explain the development of capabilities in SMEs. These refer, among other things ...

usage: java -jar vcf-decision-tree.jar -i <arg> -c <arg> [-m <arg>] [-o <arg>] [-f] [-s] [-l] [-p] [-d] [-pb <arg>] [-pd <arg>] [-ph <arg>] [-m <arg>] -i,--input <arg ...

State Key Laboratory of Urban Water Resource and Environment, School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China ...

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...

In this work, we propose a novel HyperNetwork Slide Decision Tree (HyperSDT) approach to achieve interpretable deep learning for tabular data while maintaining a comparable accuracy to ...