python Overview of cross-entropy and related algorithms and implementation examples
Overview of cross-entropy
Cross Entropy is a concept commonly used in information theory and machine learning ...
最適化:Optimization
python python Overview of the Multi-armed Bandit Problem and Examples of Applicable Algorithms and Implementations
Overview of Multi-armed Bandit Problem
The Multi-Armed Bandit Problem is a type of decision-making problem ...
python Overview of Alternating Least Squares (ALS) and related algorithms and implementation examples
Alternating Least Squares (ALS) Overview
Alternating Least Squares (ALS) is a method of solving optimization p...
python Overview of Tensor Power Method, Algorithm and Example Implementation
Overview of Tensor Power Method
The Tensor Power Method is a type of iterative method for solving tensor singu...
アルゴリズム:Algorithms Overview of PARAFAC2 (Parallel Factor 2) Decomposition, Algorithm and Implementation Example
PARAFAC2 (Parallel Factor 2) Decomposition Overview
PARAFAC2 (Parallel Factor 2) decomposition is a method of ...
アルゴリズム:Algorithms Overview of Mode-based Tensor Decomposition, Algorithm and Implementation Examples
Overview of Mode-based Tensor Decomposition
Mode-based tensor decomposition is a method of decomposing a multi...
アルゴリズム:Algorithms Overview of Tucker decomposition and examples of algorithms and implementations
Overview of Tucker Decomposition
Tucker decomposition is a decomposition method for multidimensional data and ...
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...
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 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...