Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation.
Sebastian TschiatschekJosip DjolongaAndreas KrausePublished in: AISTATS (2016)
Keyphrases
- reinforcement learning
- parameter estimation
- latent variable models
- prior knowledge
- supervised learning
- learning process
- learning systems
- learned models
- learning algorithm
- hidden variables
- unsupervised learning
- generative model
- knowledge acquisition
- learning tasks
- learning problems
- structured prediction
- probabilistic model
- artificial neural networks
- accurate models
- machine learning algorithms
- learning experience