1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2022
Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning
Zecang Gu, Xiaoqi Sun, Yuan Sun +1
Unsupervised clustering algorithm can effectively reduce the dimension of high-dimensional unlabeled data, thus reducing the time and space complexity of data processing. However,…
cs.AI2018
The Modeling of SDL Aiming at Knowledge Acquisition in Automatic Driving
Zecang Gu, Yin Liang, Zhaoxi Zhang
In this paper we proposed an ultimate theory to solve the multi-target control problem through its introduction to the machine learning framework in automatic driving, which explor…
cs.AI2018★ 1 cited
Distance formulas capable of unifying Euclidian space and probability space
Zecang Gu, Ling Dong
For pattern recognition like image recognition, it has become clear that each machine-learning dictionary data actually became data in probability space belonging to Euclidean spac…