Factorized sparse learning models with interpretable high order feature interactions.
Sanjay PurushothamMartin Renqiang MinC.-C. Jay KuoRachel OstroffPublished in: KDD (2014)
Keyphrases
- high order
- learning models
- feature interactions
- sparse metric learning
- loss function
- higher order
- learning algorithm
- learning tasks
- low order
- pairwise
- tensor decomposition
- conditional random fields
- semi supervised learning
- learning problems
- machine learning
- machine learning algorithms
- markov random field
- classification models
- low rank
- lower order
- image processing
- tensor analysis
- computer vision
- sparse coding
- matrix factorization
- text categorization
- data mining
- decision trees
- sparse representation