Learning Deep Structured Models.
Liang-Chieh ChenAlexander G. SchwingAlan L. YuilleRaquel UrtasunPublished in: ICML (2015)
Keyphrases
- prior knowledge
- learning process
- incremental learning
- learning systems
- learned models
- learning models
- supervised learning
- learning tasks
- deep architectures
- structured prediction
- computational models
- unsupervised learning
- probabilistic model
- learning algorithm
- machine learning algorithms
- experimental data
- parameter estimation
- model selection
- bayesian methods
- active learning
- structured output
- data sets