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The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
In the event of dry weather and high winds, power system-ignited incidents are more likely to develop into wildfires. The risk is greater if vegetation is nearby. A new study provides the methodology ...
“What kind of investment do we make in technology to create flexibility?” Nuts and Bolts: Taking its cue from the Nobel-prize-winning Black-Scholes model for valuing options, ROV aims to put a ...
A two-step evaluation, using a classical deterministic method and a modern probabilistic one, verified uprating a 35-year-old German natural gas pipeline. Evaluation in the deterministic redesign ...
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