Optimizing Machine Learning Inference Queries for Multiple Objectives.
Ziyu LiMariette SchönfeldRihan HaiAlessandro BozzonAsterios KatsifodimosPublished in: ICDEW (2023)
Keyphrases
- multiple objectives
- machine learning
- multi objective
- multi objective optimization
- query evaluation
- multi objective genetic algorithm
- query processing
- user queries
- data sources
- pareto optimal
- response time
- query language
- database
- learning algorithm
- multiobjective optimization
- multi objective problems
- feature selection
- database queries
- optimization algorithm
- goal programming
- bi objective
- probabilistic inference
- knapsack problem
- cutting stock problems
- web search engines
- machine learning algorithms
- information extraction
- active learning
- reinforcement learning
- decision trees
- machine learning methods
- range queries
- retrieval systems
- inductive logic programming
- particle swarm optimization
- information retrieval systems
- text mining
- dynamic programming
- cost function
- bayesian networks