Solving machine learning optimization problems using quantum computers.
Venkat R. DasariMee Seong ImLubjana BeshajPublished in: CoRR (2019)
Keyphrases
- optimization problems
- machine learning
- combinatorial optimization
- nonlinear programming
- evolutionary algorithm
- constrained problems
- machine learning methods
- computer vision
- objective function
- discrete optimization problems
- data mining
- continuous optimization problems
- pattern recognition
- feature selection
- metaheuristic
- cost function
- solving problems
- traveling salesman problem
- learning systems
- kernel methods
- machine learning approaches
- discrete optimization
- information extraction
- convex optimization problems
- decision trees
- learning algorithm
- machine learning and data mining
- channel capacity
- quantum computing
- neural network
- quantum computation
- optimization methods
- knapsack problem
- computer systems
- knowledge acquisition
- text classification
- supervised learning
- knowledge representation
- multi objective
- active learning
- expert systems
- data analysis
- information systems
- artificial intelligence