Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?
Vishwali MhasawadeIldikó Emese SzabóMelanie TosikSheng-Fu WangPublished in: CoRR (2018)
Keyphrases
- data distribution
- neural network
- index structure
- data streams
- pattern recognition
- concept drift
- finite automata
- artificial neural networks
- high dimensional data
- data points
- training instances
- communication cost
- streaming data
- learning algorithm
- data skew
- pattern languages
- nearest neighbor
- boolean functions
- databases
- skyline queries
- join algorithms
- sufficient conditions
- training set
- graph embedding
- decision trees