Multi-Label Structure Learning with Ising Model Selection.
André R. GonçalvesFernando J. Von ZubenArindam BanerjeePublished in: IJCAI (2015)
Keyphrases
- model selection
- structure learning
- multi label
- parameter estimation
- sample size
- text categorization
- graph cuts
- markov random field
- graphical models
- bayesian networks
- multi label classification
- image classification
- cross validation
- transfer learning
- feature selection
- hyperparameters
- text classification
- statistical learning
- machine learning
- conditional independence
- markov networks
- class labels
- approximate inference
- gaussian process
- variable selection
- unsupervised learning
- generalization error
- belief propagation
- probability distribution
- maximum margin
- reinforcement learning
- network structure
- prior knowledge
- knn
- clustering algorithm
- text mining