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Found 2 papers, 1 papers with code
Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks
A barrier to proactive maintenance is the city's inability to predict the risk of failure on parts of its infrastructure.
Applications
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes
In this paper we use Gaussian Process (GP) regression to propose a novel approach for predicting volatility of financial returns by forecasting the envelopes of the time series.
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