Training a Large Scale Classifier with the Quantum Adiabatic Algorithm
Hartmut NevenVasil S. DenchevGeordie RoseWilliam G. MacreadyPublished in: CoRR (2009)
Keyphrases
- learning algorithm
- dynamic programming
- preprocessing
- training algorithm
- optimal solution
- classification algorithm
- detection algorithm
- neural network
- np hard
- computational cost
- multiple instance learning
- classification scheme
- classification method
- worst case
- k means
- training set
- lower bound
- similarity measure
- recognition algorithm
- higher classification accuracy
- nearest neighbor classifier
- nearest neighbour
- training phase
- decision trees
- training data
- training process
- cost function
- objective function
- support vector
- training samples
- probabilistic model
- significant improvement