Gradient Methods for Problems with Inexact Model of the Objective.
Fedor S. StonyakinDarina DvinskikhPavel E. DvurechenskyAlexey KroshninOlesya KuznetsovaArtem AgafonovAlexander V. GasnikovAlexander TyurinCésar A. UribeDmitry PasechnyukSergei ArtamonovPublished in: MOTOR (2019)
Keyphrases
- objective function
- methods can be applied
- integer linear programming
- mathematical models
- statistical models
- benchmark datasets
- linear models
- linear regression
- conceptual model
- mathematical model
- significant improvement
- probabilistic model
- statistical methods
- high level
- learning algorithm
- prior knowledge
- experimental data
- preprocessing
- search algorithm
- reinforcement learning
- qualitative and quantitative
- learning models
- similarity measure
- image segmentation
- social networks