Learning automata-based partitioning algorithms for stochastic grouping problems with non-equal partition sizes.
B. John OommenRebekka Olsson OmslandseterLei JiaoPublished in: Pattern Anal. Appl. (2023)
Keyphrases
- learning algorithm
- optimization problems
- learning process
- solving problems
- partitioning algorithm
- noise tolerant
- problems in computer vision
- learning systems
- combinatorial optimization
- data mining and machine learning
- structured prediction problems
- neural network
- approximate solutions
- test problems
- search methods
- learning tasks
- theoretical analysis
- significant improvement
- np complete
- linear programming
- computational cost
- perceptual grouping
- continuous domains
- data structure
- optimal solution
- objective function
- e learning
- data mining