python Overview of the policy gradient method and examples of algorithms and implementations
Policy Gradient Methods
Policy Gradient Methods are a type of reinforcement learning that focuses specifica...
最適化:Optimization
python アルゴリズム:Algorithms Overview of CP (CANDECOMP/PARAFAC) Decomposition, Algorithm and Example Implementation
CP (CANDECOMP/PARAFAC) Decomposition Overview
CP decomposition (CANDECOMP/PARAFAC) is a type of tensor decompo...
python Overview of Non-Negative Tensor Factorization (NTF), its algorithm and examples of implementation
Non-Negative Tensor Factorization (NTF) Overview
Non-Negative Tensor Factorization (NTF) is a method for obtai...
python Hesse Matrices and Regularity
Overview of Hessian matrix
A Hessian matrix is a matrix representation of the second-order partial derivatives ...
幾何学:Geometry Cross-Entropy Loss
Overview of Cross-Entropy Loss
Cross-Entropy Loss (Cross-Entropy Loss) is one of the common loss functions use...
python Overview of Boltzmann Exploration and examples of algorithms and implementations
Overview of Boltzmann Exploration
Boltzmann Exploration is one of the methods used to balance search and ex...
python Overview of Gelman-Rubin Statistics and Related Algorithms and Examples of Implementations
Overview of Gelman-Rubin Statistics
The Gelman-Rubin statistic (or Gelman-Rubin diagnostic, Gelman-Rubin statis...
アルゴリズム:Algorithms Overview of Multi-objective Search Algorithms and Examples of Applications and Implementations
Multi-objective Search Algorithm
Multi-Objective Optimization Algorithm (Multi-Objective Optimization Algorith...
python Overview of Q-Learning and Examples of Algorithms and Implementations
Q-Learning
Q-Learning (Q-Learning) is a type of reinforcement learning, an algorithm that allows an agent t...
python Overview of Exponential Smoothing, Algorithm and Implementation Examples
Exponential Smoothing
Exponential Smoothing is one of the statistical methods used to predict time serie...