Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions.
Anthony CulosAmy TsaiNatalie StanleyMartin BeckerMohammad Sajjad GhaemiDavid McilwainRamin FallahzadehAthena TanadaHuda NassarCamilo EspinosaMaria XenochristouEdward GanioLaura PetersonXiaoyuan HanIna A. StelzerKazuo AndoDyani GaudilliereThanaphong PhongpreechaIvana MaricAlan L. ChangGary M. ShawDavid K. StevensonSean BendallKara L. DavisWendy J. FantlGarry P. NolanTrevor HastieRobert TibshiraniMartin S. AngstBrice GaudilliereNima AghaeepourPublished in: Nat. Mach. Intell. (2020)
Keyphrases
- machine learning
- knowledge acquisition
- learning systems
- knowledge representation
- knowledge base
- knowledge discovery
- domain knowledge
- knowledge management
- knowledge extraction
- knowledge transfer
- knowledge engineering
- knowledge sharing
- data mining
- prior knowledge
- learning algorithm
- feature selection
- pattern recognition
- machine learning algorithms
- knowledge elicitation
- knowledge integration
- computer vision
- decision trees
- active learning
- knowledge based systems
- higher level
- learning environment
- domain experts
- machine learning methods
- text classification
- domain specific
- data analysis
- explanation based learning
- text mining
- data model