Accounting for Variance in Machine Learning Benchmarks.
Xavier BouthillierPierre DelaunayMirko BronziAssya TrofimovBrennan NichyporukJustin SzetoNaz SepahEdward RaffKanika MadanVikram VoletiSamira Ebrahimi KahouVincent MichalskiDmitriy SerdyukTal ArbelChris PalGaël VaroquauxPascal VincentPublished in: CoRR (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning algorithms
- learning tasks
- natural language processing
- benchmark suite
- learning algorithm
- machine learning methods
- computer vision
- text classification
- standard deviation
- supervised classification
- real time
- knowledge engineering
- statistical learning
- computer science
- machine learning and data mining
- reinforcement learning
- decision trees
- feature selection
- artificial intelligence
- text mining
- learning problems
- kernel methods
- variance reduction
- statistical methods
- covariance matrix
- semi supervised learning
- knowledge acquisition
- computational intelligence
- information extraction
- knowledge discovery
- active learning
- trade off
- learning environment
- search engine
- data mining