I am Jingping. I like to find ways to decrease the cost time of processes with any technology, figure out a better method to deal with procedures, and search for a better solution to an unsolved problem. During my master's degree, I researched the hand strength evaluation methods in the contract bridge. The main target of this topic is to find an evaluation method to make the hand strength and the board result more relevant than the hand strength calculated by modern evaluation methods. The power of the hand in the contract bridge is an unsolved problem, and I improved the correlation coefficient between the hand strength and the board result from 0.859 to 0.923. The provided evaluation method can improve the accuracy of the board result prediction from 0.491 to 0.567.
2020 - 2022
2015 - 2020
C++ Shell Script Python Git Vim
English — TOEIC 735
Designed various hand-strength evaluation methods and trained the parameters by the genetic algorithm. The research's main target is to find an evaluation method of hand strength that is more relevant to the board result than the modern hand strength evaluation methods. I improved the correlation coefficient between the hand strength and the board result from 0.859 to 0.923, and the provided evaluation method can improve the prediction accuracy of the board result from 0.491 to 0.567.
I am Jingping. I like to find ways to decrease the cost time of processes with any technology, figure out a better method to deal with procedures, and search for a better solution to an unsolved problem. During my master's degree, I researched the hand strength evaluation methods in the contract bridge. The main target of this topic is to find an evaluation method to make the hand strength and the board result more relevant than the hand strength calculated by modern evaluation methods. The power of the hand in the contract bridge is an unsolved problem, and I improved the correlation coefficient between the hand strength and the board result from 0.859 to 0.923. The provided evaluation method can improve the accuracy of the board result prediction from 0.491 to 0.567.
2020 - 2022
2015 - 2020
C++ Shell Script Python Git Vim
English — TOEIC 735
Designed various hand-strength evaluation methods and trained the parameters by the genetic algorithm. The research's main target is to find an evaluation method of hand strength that is more relevant to the board result than the modern hand strength evaluation methods. I improved the correlation coefficient between the hand strength and the board result from 0.859 to 0.923, and the provided evaluation method can improve the prediction accuracy of the board result from 0.491 to 0.567.