Methods and algorithms for solving multicriteria problems - classification approach.
Mindia E. SalukvadzeNodar I. JibladzeVilhelm G. MaisuradzeAlexander L. TopchishviliPublished in: Model. Assist. Stat. Appl. (2007)
Keyphrases
- benchmark datasets
- convex optimization problems
- machine learning methods
- problems in computer vision
- heuristic methods
- machine learning algorithms
- significant improvement
- optimization problems
- search methods
- methods can be applied
- machine learning
- difficult problems
- combinatorial optimization
- supervised learning tasks
- constrained problems
- classification method
- computational cost
- preprocessing
- huge data sets
- practical problems
- feature extraction and selection
- data mining and machine learning
- convex optimization
- classification systems
- exact and approximate
- quadratic program
- optimization methods
- high dimensionality
- cross validation
- supervised machine learning algorithms
- classification accuracy
- decision trees
- small data sets
- distributed constraint optimization problems
- sparse linear systems
- large scale data sets
- quadratic optimization problems
- terms of classification accuracy
- stochastic local search
- theoretical guarantees
- induction algorithms
- continuous domains
- partial solutions
- classification models
- decision problems
- classification algorithm
- model selection
- knn
- feature selection