Overview of Iterative Optimization Algorithms and Examples of Implementations
Overview of Iterative Optimization Algorithms
Iterative optimization algorithms are an approach that iterativel...
hummingbird
Ensemble learning and multi-agent systems.
Ensemble learning
Ensemble learning is one of the powerful techniques widely used in the field of machine ...
Quantum entanglement and covariance
Quantum Entanglement
Quantum entanglement is a phenomenon in which two or more particles become strongly co...
Data anonymisation technology
Information confidentiality technology
Data Anonymisation technology (Data Anonymisation) is an approach used ...
Overview of One-Shot Learning, Algorithm and Implementation Examples
Overview
One-shot learning is a learning approach designed for situations where only one training exa...
Overview of Sequential Diversity Optimization Algorithm (SDOA) and examples of algorithms and implementations
Overview of Sequential Diversity Optimization Algorithm (SDOA)
The Sequential Diversity Optimization Algorith...
Overview of self-organising maps (SOM) and examples of algorithms and implementations.
Self-organising map (SOM) overview
Self-Organising Map (SOM) is a type of artificial neural network that maps h...
Overview of the Max Margin Approach and examples of algorithms and implementations.
Overview of the Max Margin Approach
The Max-Margin Approach is a concept used in machine learning algor...
Considerations for making agents behave intelligently
How to make agents behave intelligently
In this article, we consider how to make agents behave intelligent...
Concept of nothingness and its mathematical representation and its application to AI technology
Theories of the Beginning of the Universe and "Nothingness"
The Big Bang theory is the currently widely acc...