114 citations · 315 across the 19 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2019
Generating Data using Monte Carlo Dropout
Kristian Miok, Dong Nguyen-Doan, Daniela Zaharie +1
For many analytical problems the challenge is to handle huge amounts of available data. However, there are data science application areas where collecting information is difficult…
stat.ML2014★ 44 cited
Data Generators for Learning Systems Based on RBF Networks
Marko Robnik-Šikonja
There are plenty of problems where the data available is scarce and expensive. We propose a generator of semi-artificial data with similar properties to the original data which ena…