Towards a Better Understanding of Reverse-Complement Equivariance for Deep Learning Models in Genomics.
Hannah ZhouAvanti ShrikumarAnshul KundajePublished in: MLBC (2021)
Keyphrases
- learning models
- machine learning
- learning tasks
- machine learning algorithms
- loss function
- semi supervised learning
- learning algorithm
- conditional random fields
- learning paradigms
- learning problems
- object recognition
- classification models
- machine learning models
- text mining
- text categorization
- genetic algorithm
- information retrieval
- data mining