Search Results for author:
Found 4 papers, 0 papers with code
AutoTSG: Learning and Synthesis for Incident Troubleshooting
To alleviate these gaps, we investigate the automation of TSGs and propose AutoTSG -- a novel framework for automation of TSGs to executable workflows by combining machine learning and program synthesis.
Sustainable AI: Environmental Implications, Challenges and Opportunities
This paper explores the environmental impact of the super-linear growth trends for AI from a holistic perspective, spanning Data, Algorithms, and System Hardware.
Principal Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar
The main idea of this paper is to show that ECCM involving a radar and a jammer can be formulated as a principal-agent problem (PAP) - a problem widely studied in microeconomics.
Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing
We introduce a deep learning approach to overcome the drawbacks by applying a large training data set, auto feature selection and fast, accurate labeling.
