A high-bias, low-variance introduction to Machine Learning for physicists.
Pankaj MehtaMarin BukovChing-Hao WangAlexandre G. R. DayClint RichardsonCharles K. FisherDavid J. SchwabPublished in: CoRR (2018)
Keyphrases
- low variance
- machine learning
- real valued
- naive bayes
- bias variance
- artificial intelligence
- probability values
- decision trees
- pattern recognition
- machine learning methods
- text classification
- unbiased estimator
- machine learning algorithms
- computer science
- feature selection
- computer vision
- information extraction
- computational intelligence
- upper bound
- model selection
- knowledge discovery
- prior knowledge
- lower bound
- learning tasks
- inductive bias
- natural language
- data sets