Heterogeneous Transfer Learning

Description

Heterogeneous transfer learning is characterized by the source and target domains having differing feature spaces, but may also be combined with other issues such as differing data distributions and label spaces.

Technical Details

Framework	MITRE D3FEND
Ontology URI	d3f:HeterogeneousTransferLearning
Local Identifier	HeterogeneousTransferLearning
Publication Status	Exists in ontology only

Relationships

Parent Tactics

Model Model

Child Concepts

D3A-HFBTL Heterogeneous Feature-based Transfer Learning
D3A-HAFBTL Heterogeneous Asymmetric Feature-based Transfer Learning

Related Techniques

D3A-IBTL Instance-based Transfer Learning (Unpublished)
D3A-HBTL Hybrid-based Transfer Learning (Unpublished)
D3A-SFTL Symmetric Feature-based Transfer Learning (Unpublished)
D3A-HFBTL Heterogeneous Feature-based Transfer Learning (Unpublished)
D3A-PBTL Parameter-based Transfer Learning (Unpublished)
D3A-RBTL Relational-based Transfer Learning (Unpublished)
D3A-AFTL Asymmetric Feature-based Transfer Learning (Unpublished)
D3A-HAFBTL Heterogeneous Asymmetric Feature-based Transfer Learning (Unpublished)

D3FEND