Can algorithms learn from babies? Exploring how infant learning can inform and inspire unsupervised learning algorithms.
Jelena SucevicJovana MitrovicPublished in: CogSci (2021)
Keyphrases
- learning algorithm
- supervised learning
- learning problems
- machine learning algorithms
- learning process
- learning scheme
- learning tasks
- active learning
- training data
- noise tolerant
- efficient learning
- deep architectures
- machine learning
- learning models
- kernel machines
- learning machines
- learning agent
- linear threshold
- reinforcement learning
- learning systems
- unsupervised learning
- learning mechanism
- semi supervised
- learning paradigms
- bayesian network structures
- transferring knowledge
- induction algorithms
- hypothesis space
- learning rate
- inductive learning
- lower bound
- support vector
- learning environment