Active Learning for Computationally Efficient Distribution of Binary Evolution Simulations.
Kyle Akira RochaJeff J. AndrewsChristopher P. L. BerryZoheyr DoctorPablo MarchantVicky KalogeraScott CoughlinSimone S. BaveraAaron DotterTassos FragosKonstantinos KovlakasDevina MisraZepei XingEmmanouil ZapartasPublished in: CoRR (2022)
Keyphrases
- computationally efficient
- active learning
- probability distribution
- semi supervised
- supervised learning
- data distribution
- pool based active learning
- expected loss
- learning process
- relevance feedback
- learning strategies
- random sampling
- uniformly distributed
- music emotion classification
- neural network
- software evolution
- simulation environment
- probability density function
- training set
- multiscale
- learning algorithm