Classification of Sparse Time Series via Supervised Matrix Factorization.
Josif GrabockaAlexandros NanopoulosLars Schmidt-ThiemePublished in: AAAI (2012)
Keyphrases
- matrix factorization
- collaborative filtering
- unsupervised learning
- supervised learning
- low rank
- machine learning
- feature selection
- nonnegative matrix factorization
- missing data
- support vector
- factorization methods
- low rank matrix
- factor analysis
- learning algorithm
- semi supervised
- negative matrix factorization
- tensor factorization
- sparse non negative
- model selection
- image classification
- recommender systems
- dictionary learning
- data sparsity
- feature extraction
- feature vectors
- feature space
- implicit feedback
- face recognition
- personalized ranking
- probabilistic matrix factorization