Overview of LPA and examples of algorithms and implementations
Overview of LPA
LPA (Label Propagation Algorithm) is a type of graph-based semi-supervised learning algori...
Pre-processing for speech recognition
Pre-processing for speech recognition
Speech recognition preprocessing is the step of converting speech data...
About Echo State Network (ESN)
Overview of Echo State Network (ESN)
Echo State Network (ESN) is a type of reservoir computing described i...
Overview of Block K-FAC and Examples of Algorithms and Implementations
Overview of Block K-FAC
Block K-FAC (Block Kronecker-factored Approximate Curvature) is a kind of curve ch...
KI 2021: Advances in Artificial Intelligence Papers
KI2021
KI 2021 was the 44th German Conference on Artificial Intelligence organized in cooperation ...
Ontology development and optimisation for data integration and decision-making in product design and obsolescence management
Ontology development and optimisation for data integration and decision-making in product design and obsoles...
Overview of Inverse Reinforcement Learning and Examples of Algorithms and Implementations
Overview of Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is a type of reinforcement ...
Overview of Metapath2Vec and examples of algorithms and implementations
Overview of Metapath2Vec
Metapath2Vec is one of the methods used to learn representations of nodes on grap...
Overview of the atomic norm and examples of applications and implementations
Atomic norm overview
The atomic norm is a type of norm used in fields such as optimisation and signal ...
About Stacked RNN
Overview of Stacked RNN
Stacked RNN (Stacked Recurrent Neural Network) is a type of recurrent neural netwo...