Local Structure Learning and Knowledge Augmentation Learning
Abstract
Local structure learning is to discover the local structure for a target variable. A key concept for local structure is the Markov Blanket (MB). The MB of a target variable consists of those variables, which jointly contain all the information needed to predict the behaviors of the target variable. MB learning is to discover the MB of the target node. The research objectives are: 1) development of robust and efficient methods for MB learning; 2) application of the MB learning to various machine learning tasks, including structured feature selection, classification, and causal structure learning, and 3) incorporation of the MB learning methods into D3M environment and evaluation of their performance on D3M datasets.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 23, 2021
- Accession Number
- AD1153459
Entities
People
- Qiang Ji
Organizations
- Rensselaer Polytechnic Institute