Human Understandable Explanation Extraction for Black-box Classification Models Based on Matrix Factorization.
Jaedeok KimJingoo SeoPublished in: CoRR (2017)
Keyphrases
- black box
- matrix factorization
- classification models
- collaborative filtering
- black boxes
- recommender systems
- training data
- decision trees
- low rank
- white box
- feature selection
- factorization methods
- factor analysis
- missing data
- negative matrix factorization
- item recommendation
- nonnegative matrix factorization
- tensor factorization
- test cases
- probabilistic matrix factorization
- models built
- neural network
- white box testing
- error rate
- genetic programming
- image features
- search space
- feature space
- learning algorithm