(mobo import Concept___Events_With_Academic_Fields-migrated) |
(mobo import Concept___Events-migrated) |
||
| Line 7: | Line 7: | ||
|City=Baltimore | |City=Baltimore | ||
|State=Maryland | |State=Maryland | ||
| − | |Country= | + | |Country=Country:US |
|Paper deadline=2020/06/10 | |Paper deadline=2020/06/10 | ||
|Notification=2020/08/16 | |Notification=2020/08/16 | ||
| Line 24: | Line 24: | ||
|End Date=2020/11/11 | |End Date=2020/11/11 | ||
|Academic Field=Artificial Intelligence | |Academic Field=Artificial Intelligence | ||
| + | |Event Status=as scheduled | ||
| + | |Event Mode=on site | ||
}} | }} | ||
==Topics== | ==Topics== | ||
Revision as of 14:26, 6 September 2022
Topics
AI Foundations
- Machine Learning and Data Mining
- Evolutionary computing, Bayesian and Neural Networks
- Pre-processing, Dimension Reduction and Feature Selection
- Decision/Utility Theory and Decision Optimization
- Learning Graphical Models and Complex Networks
- Search, SAT, and CSP Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label and Multi-Task Learning
- Description Logic and Ontologies
- Transfer/Adaptive, Rational and Structured Learning
AI in Domain-specific Applications
- Preference/Ranking, Ensemble, and Reinforcement Learning
AI in Computational Biology, Medicine and Biomedical Applications
- Knowledge Representation, Reasoning and Cognitive Modelling
