Learning to predict under a budget
Prediction-time budgets in machine learning applications can arise due to monetary or computational costs associated with acquiring information; they also arise due to latency and power consumption costs in evaluating increasingly more complex models. The goal in such budgeted prediction problems is...
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| Language: | en_US |
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2018
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| Online Access: | https://hdl.handle.net/2144/30726 |