Symbolic Learning and Reasoning with Noisy Data for Probabilistic Anchoring.
Pedro Zuidberg Dos MartiresNitesh KumarAndreas PerssonAmy LoutfiLuc De RaedtPublished in: CoRR (2020)
Keyphrases
- noisy data
- noise tolerant
- reinforcement learning
- learning process
- learning from noisy data
- active learning
- probabilistic model
- connectionist systems
- bayesian networks
- missing data
- associative learning
- learning algorithm
- neural network
- feature vectors
- pattern recognition
- color images
- data sets
- input data
- non stationary
- learning problems
- training data
- incremental learning
- probabilistic logic
- knowledge base