1 citations · 2 across the 3 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★ 1 cited
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…