Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning.
Peter HendersonJieru HuJoshua RomoffEmma BrunskillDan JurafskyJoelle PineauPublished in: CoRR (2020)
Keyphrases
- machine learning
- carbon dioxide
- data analysis
- machine learning methods
- energy minimization
- supervised learning
- data mining
- energy consumption
- low energy
- feature selection
- pattern recognition
- natural language processing
- computer vision
- supervised machine learning
- machine learning and data mining
- explanation based learning
- machine learning approaches
- inductive learning
- learning problems
- artificial intelligence
- knowledge acquisition
- text classification
- text mining
- knowledge discovery
- reinforcement learning
- decision trees
- genetic algorithm
- learning systems
- business intelligence
- energy efficiency
- computational biology
- support vector machine
- minimum energy