Symbolic Logic Considerations for making agents behave intelligently
How to make agents behave intelligently
In this article, we consider how to make agents behave intelligent...
確率・統計:Probability and Statistics
Symbolic Logic python Fluctuation and its application
Fluctuation
“Fluctuation” generally refers to a state that is slightly shifting and unsettled, or a conditi...
python Stick-breaking Process Overview, Algorithm and Implementation Example
Overview of Stick-breaking Process
The Stick-breaking Process (Stick-breaking Process) is a typical method...
python Chinese Restaurant Process Overview, Algorithm and Implementation Example
Overview of Chinese Restaurant Process
The Chinese Restaurant Process (CRP) is a stochastic model used to ...
python Hierarchical Dirichlet Process (HDP) Overview, Algorithm and Implementation Examples
Hierarchical Dirichlet Process (HDP) Overview
The Hierarchical Dirichlet Process (HDP) is a Bayesian nonpa...
確率・統計:Probability and Statistics Modeling Gaussian and non-Gaussian worlds
Gaussian world
The probabilistic approach to machine learning, described in “Probabilistic Approaches to M...
python Python and Machine Learning (1) Mathematics and Basic Algorithms
Python and Machine Learning
Overview
Python will be a general-purpose programming language with many e...
python Overview of Bayesian Multivariate Statistical Modeling and Examples of Algorithms and Implementations
Overview of Bayesian Multivariate Statistical Modeling
Bayesian multivariate statistical modeling is a met...
python Overview of Stochastic Gradient Langevin Dynamics (SGLD) and examples of algorithms and implementations
Stochastic Gradient Langevin Dynamics（SGLD）
Stochastic Gradient Langevin Dynamics (SGLD) is a stochastic optimi...
python KL divergence constraint
KL divergence constraint
The KL divergence (Kullback-Leibler Divergence) is an asymmetric measure of simil...