Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification.

Cheng Zhang Hedvig Kjellström Stephan Mandt

Published in: CoRR (2017)

Keyphrases

point processes
monte carlo
hot spots
imbalanced data
learning from imbalanced data
learning process
learning algorithm
active learning
supervised learning
data sets
machine learning
spatial analysis