Active Learning Techniques in Machine Learning
Overview of Active Learning Techniques in Machine Learning
Active learning in machine learning (Active Learn...
機械学習:Machine Learning
Overview of HIN2Vec-PCA and examples of algorithms and implementations
Overview of HIN2Vec-PCA
HIN2Vec-PCA is a method that combines HIN2Vec and principal component analysis (PC...
Overview of mini-batch learning and examples of algorithms and implementations
Overview of mini-batch learning.
Minibatch learning is one of the most widely used and efficient learning me...
Overview of Maximum Marginal Relevance (MMR) and examples of algorithms and implementations
Overview of Maximum Marginal Relevance (MMR)
Maximum Marginal Relevance (MMR) is one of the ranking methods fo...
Web Reasoning and Rule Systems
Web Reasoning and Rule Systems
Web Reasoning and Rule Systems
This book is the refereed proceedings o...
Overview of the Value Gradient Method and Examples of Algorithms and Implementations
Overview of Value Gradient Method
Value Gradients is a method used in the context of reinforcement learning...
Overview of HIN2Vec-GAN and examples of algorithms and implementations
Overview of HIN2Vec-GAN
HIN2Vec-GAN is one of the techniques used to learn relationships on graphs, and sp...
Overview of Predictive Control with Constraints and examples of algorithms and implementations.
Overview of Predictive Control with Constraints
Predictive Control with Constraints (Predictive Control) will ...
Rule Based Reasoning , Programming and Applications
Rule Based Reasoning , Programming and Applications
Rule Based Reasoning , Programming and Applications
...
Overview of Curly Window Search (Curiosity-Driven Exploration), Algorithm and Example Implementation
Overview of Curiosity-Driven Exploration
Curly Window Exploration will be the general term for a general id...