python Aleatory uncertainty and AI-based solutions
Aleatory Uncertainty
Aleatory Uncertainty will mainly refer to uncertainty caused by natural phenomena and...
機械学習:Machine Learning
python python How to improve linear convergence in Newton’s method
How to improve linear convergence in Newton's method
The Newton method, also described in ‘Overview of the Newt...
python Holographic theory and AI technology
What is holographic theory?
Holographic theory (holographic principle) is a theory of physics that is parti...
アルゴリズム:Algorithms Overview of genetic algorithms, application examples, and implementation examples
Overview of genetic algorithms
Genetic algorithm (GA) is a type of evolutionary computation, and is an optimiza...
python Overview and implementation examples of Edge-GNN
Edge-GNN
Edge-GNN (Edge Graph Neural Network) is a neural network architecture that focuses on edges in a ...
python Overview of Dynamic Linear Models (DLM), algorithms and implementation examples
Overview of Dynamic Linear Models (DLM)
A Dynamic Linear Model (DLM) is a form of statistical modelin...
python Philosophical perspectives on probability and AI solutions to uncertainty
Philosophical perspectives on probability
The concept of probability has different perspectives. The diffe...
python Overview of the Natural Gradient Method and Examples of Algorithms and Implementations
Overview of Natural Gradient Method
Natural Gradient Descent is a type of Stochastic Gradient Descent (SGD) des...
アルゴリズム:Algorithms Overview of quantum support vector machines and examples of algorithms and implementations
Overview of quantum support vector machines.
Quantum Support Vector Machines (Q-SVMs) are an extension t...
python Deep Graph Infomax overview and implementation examples
Deep Graph Infomax
Deep Graph Infomax (DGI) is an unsupervised learning method for graph data, which is an...