Sampling Approach Matters: Active Learning for Robotic Language Acquisition.
Nisha PillaiEdward RaffFrancis FerraroCynthia MatuszekPublished in: IEEE BigData (2020)
Keyphrases
- language acquisition
- active learning
- random sampling
- computational model
- language learning
- sampling strategies
- natural language learning
- computational models
- active sampling
- human language
- stratified sampling
- sampling algorithm
- machine learning
- selective sampling
- learning strategies
- sample selection
- real time
- cognitive science
- robotic systems
- sample size
- mobile robot
- grammatical inference
- labeled data
- relevance feedback
- semi supervised
- active learning strategies
- sampling strategy
- pool based active learning
- data sets
- sampling methods
- training examples
- supervised learning
- training set
- experimental design
- batch mode
- monte carlo
- online learning
- control system
- learning process
- imbalanced class distribution
- artificial intelligence
- learning algorithm
- imbalanced data classification