Overview of the gradient method and examples of algorithms and implementations
Gradient Descent
The gradient method is one of the widely used methods in machine learning and optimization algo...
数学:Mathematics
Dynamic Community Analysis
Dynamic Community Analysis
Dynamic Community Analysis (Dynamic Community Detection) will be a method for t...
Subsampling Large-Scale Graph Data
Subsampling Large-Scale Graph Data
Subsampling of large graph data reduces data size and controls computat...
Overview of Newton’s method and its algorithm and implementation
Newton's Method
Newton's method (Newton's method) is one of the iterative optimization algorithms for finding n...
Graphical data analysis that takes into account changes over time with dynamic centrality indices
Graphical data analysis that takes into account changes over time with dynamic centrality indices
Dynamic ...
Methods for plotting high-dimensional data in lower dimensions using dimensionality reduction techniques (e.g., t-SNE, UMAP) to facilitate visualization
Methods for plotting high-dimensional data in lower dimensions using dimensionality reduction techniques...
Overview, Algorithm and Implementation of Gauss-Hermite Integral
Gaussian-Hermite Integration
Gaussian-Hermite Integration is a method of numerical integration, often used for ...
Graphical data analysis that takes into account changes over time with dynamic module detection
Graphical data analysis that takes into account changes over time with dynamic module detection
Dynamic mo...
Overview of Self-Adaptive Search Algorithms and Examples of Applications and Implementations
Self-adaptive search algorithms
Self-Adaptive Search Algorithms, a group of algorithms used in the context of ...
Solving constraint satisfaction problems using the EM algorithm
Constraint satisfaction problems using the EM algorithm
The EM (Expectation Maximization) algorithm, descri...