python Overview of Submodular Diversification and examples of algorithms and implementations.
Overview of Submodular Diversification
Submodular Diversification is one of the methods for selecting the top ...
機械学習:Machine Learning
python python Overview of Few-Shot Learning, Algorithm and Implementation Examples
Overview
Few-Shot Learning is a technique aimed at correctly classifying or predicting new classes or...
python Overview of SkipGANomaly, Algorithm and Example Implementation
Overview of SkipGANomaly
SkipGANomaly is a GAN-based method described in “Overview of GANs and Various Applic...
python Overview of Black-Box Variational Inference (BBVI), its algorithms and examples of implementation
Overview of Black-Box Variational Inference (BBVI)
Black-Box Variational Inference (BBVI) is a type of var...
python Overview of Linear Quadratic Control (LQC), algorithms and implementation examples
Overview of linear quadratic control
Linear-quadratic control (LQR) is a branch of control theory that serves a...
python Information integration theory and its applications.
Information Integration Theory (IIT)
Information Integration Theory (IIT) is a theory proposed by psycholog...
python Overview of Diversified Top-k Retrieval (DTkR), its algorithms and examples of implementation
Overview of Diversified Top-k Retrieval (DTkR)
Diversified Top-k Retrieval (DTkR) is a method for obtaining di...
python Hierarchical Dirichlet Process (HDP) Overview, Algorithm and Implementation Examples
Hierarchical Dirichlet Process (HDP) Overview
The Hierarchical Dirichlet Process (HDP) is a Bayesian nonpa...
python BigGAN Overview, Algorithm and Implementation Examples
Overview of BigGAN
BigGAN is a GAN (Generative Adversarial Network) proposed by researchers at Google DeepMin...
python Overview of TRPO-CMA and examples of algorithms and implementations
Overview of the TRPO-CMA
TRPO-CMA (Trust Region Policy Optimization with Covariance Matrix Adaptation) is o...