Reducing Data Complexity using Autoencoders with Class-informed Loss Functions.
David CharteFrancisco CharteFrancisco HerreraPublished in: CoRR (2021)
Keyphrases
- loss function
- data complexity
- expressive power
- reproducing kernel hilbert space
- query answering
- pairwise
- conjunctive queries
- risk minimization
- loss minimization
- query evaluation
- learning to rank
- support vector
- np complete
- bregman divergences
- learning models
- query language
- query complexity
- data sets
- convex loss functions
- schema mappings
- incomplete information
- kernel methods
- denoising