機械学習:Machine Learning

python

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...
python

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...
Symbolic Logic

Web Reasoning and Rule Systems

Web Reasoning and Rule Systems Web Reasoning and Rule Systems This book is the refereed proceedings o...
python

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...
python

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...
python

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 ...
Symbolic Logic

Rule Based Reasoning , Programming and Applications

Rule Based Reasoning , Programming and Applications Rule Based Reasoning , Programming and Applications ...
python

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...
python

Overview of HIN2Vec and examples of algorithms and implementations

Overview of HIN2Vec. Heterogeneous Information Network Embedding (HIN2Vec) is a method for embedding heter...
python

Overview of evolutionary algorithms and examples of algorithms and implementations

  Overview of evolutionary algorithms. Evolutionary algorithms become optimisation techniques designed on the pr...
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