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Probabilistic spatial clustering based on the Self Discipline Learning (SDL) model of autonomous learning
Unsupervised clustering algorithm can effectively reduce the dimension of high-dimensional unlabeled data, thus reducing the time and space complexity of data processing.
The Modeling of SDL Aiming at Knowledge Acquisition in Automatic Driving
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 explored the implementation of excellent drivers' knowledge acquisition.
Distance formulas capable of unifying Euclidian space and probability space
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 space.
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