Metadata
Title
Domain Agnostic Methods for Integration of Prior Knowledge in Learning Algorithms
Category
general
UUID
6644ab8f4d1d4ef0abe88201b40d1781
Source URL
https://wsai.iitm.ac.in/themes/domain-agnostic-methods-for-integration-of-prior-...
Parent URL
https://wsai.iitm.ac.in/research/
Crawl Time
2026-03-17T07:14:39+00:00
Rendered Raw Markdown

Domain Agnostic Methods for Integration of Prior Knowledge in Learning Algorithms

Source: https://wsai.iitm.ac.in/themes/domain-agnostic-methods-for-integration-of-prior-knowledge-in-learning-algorithms/ Parent: https://wsai.iitm.ac.in/research/

Domain Agnostic Methods for Integration of Prior Knowledge in Learning Algorithms

Tags

domain knowledge data analysis network causal reasoning

While data analysis tools are used across various problem areas, the question of importance of domain knowledge in improving the performance of these algorithms has not been addressed sufficiently. In this project, we will explore approaches for hybridisation of domain knowledge with data analysis methods. To ensure that the ideas developed through this project are domain agnostic, we will abstract domain knowledge into generic forms network structure, spatial relationships, to name a few.