Machine Learning-Driven Noise Separation in High Variation Genomics Sequencing Datasets.
Milko KrachunovMaria NishevaDimitar VassilevPublished in: AIMSA (2018)
Keyphrases
- machine learning
- low snr
- low signal to noise ratio
- recent advances
- text mining
- random noise
- natural language processing
- machine learning methods
- wide range
- information extraction
- data driven
- noise level
- image noise
- learning systems
- active learning
- data sets
- feature selection
- model selection
- noise free
- natural language
- pattern recognition
- signal to noise ratio
- noise reduction
- computer vision
- class noise
- sequence analysis
- noise model
- gaussian noise
- synthetic datasets
- learning problems
- benchmark datasets
- machine learning algorithms
- knowledge acquisition
- text classification
- support vector machine
- reinforcement learning