Parameterized Machine Learning for High-Energy Physics.
Pierre BaldiKyle CranmerTaylor FaucettPeter J. SadowskiDaniel WhitesonPublished in: CoRR (2016)
Keyphrases
- high energy physics
- machine learning
- scientific data
- machine learning methods
- bitmap indices
- learning algorithm
- data analysis
- machine learning algorithms
- machine learning and data mining
- decision trees
- knowledge acquisition
- explanation based learning
- pattern recognition
- grid infrastructures
- text mining
- machine learning approaches
- inductive learning
- knowledge discovery
- feature selection
- artificial intelligence
- unsupervised learning
- model selection
- transfer learning
- databases
- natural language processing
- support vector machine
- active learning
- training set
- real world