A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem.
Luana P. QueirozCarine M. RebelloErbet A. CostaVinícius V. SantanaAlírio E. RodriguesAna M. RibeiroIdelfonso B. R. NogueiraPublished in: CoRR (2022)
Keyphrases
- machine learning
- high robustness
- data mining
- machine learning methods
- artificial intelligence
- semi supervised learning
- optimization algorithm
- natural language processing
- decision trees
- knowledge discovery
- optimization problems
- mathematical programming
- global optimization
- learning algorithm
- machine learning algorithms
- computer vision
- computationally efficient
- neural network
- digital image watermarking
- active learning
- reinforcement learning
- information retrieval
- science learning
- scientific knowledge
- robust optimization
- norm minimization
- simultaneous optimization
- machine learning approaches
- geometric attacks
- robust estimation
- optimization process
- greater robustness
- inductive learning
- convex optimization
- inductive logic programming
- computational efficiency
- knowledge acquisition
- simulated annealing
- feature selection
- supervised learning
- least squares
- support vector machine
- control system
- data analysis
- computer science