Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach.
Serena BoothAnkit ShahYilun ZhouJulie ShahPublished in: CoRR (2020)
Keyphrases
- neural network
- prediction accuracy
- artificial neural networks to predict
- prediction model
- pattern recognition
- programming language
- pattern matching
- monte carlo
- matching algorithm
- prediction algorithm
- artificial neural networks
- random sampling
- prediction error
- matching process
- graph matching
- programming environment
- multilayer perceptron
- genetic algorithm
- uncertain data
- self organizing maps
- back propagation
- predictive model
- probabilistic model
- probabilistic logic
- neural network ensemble
- posterior probability
- computer programs
- active learning
- sampling strategy
- neural networks and support vector machines
- confidence estimates