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Found 5 papers, 1 papers with code
Towards Label Embedding -- Measuring classification difficulty
In supervised learning, uncertainty can already occur in the very first stage of the training process, the labelling step.
Sources of Uncertainty in Machine Learning -- A Statisticians' View
Machine Learning and Deep Learning have achieved an impressive standard today, enabling us to answer questions that were inconceivable a few years ago.
The Politics of Language Choice: How the Russian-Ukrainian War Influences Ukrainians' Language Use on Twitter
Notably, we find that more than half of the Russian-tweeting users shift towards Ukrainian as a result of the war.
Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty Improve Model Performance?
Technological and computational advances continuously drive forward the broad field of deep learning.
The Role of Governmental Weapons Procurements in Forecasting Monthly Fatalities in Intrastate Conflicts: A Semiparametric Hierarchical Hurdle Model
Accurate and interpretable forecasting models predicting spatially and temporally fine-grained changes in the numbers of intrastate conflict casualties are of crucial importance for policymakers and international non-governmental organisations (NGOs).
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