What is a function – its history, programming and machine learning
About Functions
A function will generally be mathematically defined as a rule that assigns to each element in ...
Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations
Petri Net Overview
Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...
Overview of Multitask Learning and Examples of Applications and Implementations
Overview of Multitasking Learning
Multi-Task Learning (Multi-Task Learning) is a machine learning techn...
Overview of sparse modeling and its application and implementation
Sparse Modeling Overview
Sparse modeling is a technique that uses sparsity (sparse properties) in the ...
Overview of the Bandit Problem and Examples of Application and Implementation
Overview of the Bandit Problem
The Bandit problem is a type of reinforcement learning in which a decision-ma...
About ATTENTION in Deep Learning
About "Attention Is All You Need"
"Attention Is All You Need" will be the paper that proposed a neural netwo...
Overview of reinforcement learning techniques and various implementations
Overview of Reinforcement Learning Technology
Reinforcement learning is a branch of machine learning in whi...
Awareness and Artificial Intelligence Technology
What does it mean to be aware?
To be aware means to observe or perceive something carefully, and for...
Overview of the dynamic factor model and its algorithm and implementation in python and R
Dynamic Factor Model
The Dynamic Factor Model (DFM) is one of the statistical models used in the analysi...
Overview of Microservices system
Microservices system
Microservices is an approach to software development architecture that is character...