Evaluating Timeliness and Accuracy Trade-offs of Supervised Machine Learning for Adapting Enterprise DRE Systems in Dynamic Environments.
Joe HoffertDouglas C. SchmidtAniruddha S. GokhalePublished in: Int. J. Comput. Intell. Syst. (2011)
Keyphrases
- dynamic environments
- supervised machine learning
- trade off
- agent systems
- changing environment
- autonomous systems
- data sets
- supervised learning
- path planning
- autonomous agents
- highly dynamic environments
- agent based systems
- collision avoidance
- image classification
- distributed systems
- co occurrence
- single agent
- classification accuracy
- manually annotated
- mobile robot
- active learning
- multi agent systems
- reinforcement learning
- search engine