Prediction intervals as quantification of predictions using a neural networkPrediction intervals as quantification of predictions using a neural networkPrediction intervals as quantification of predictions using a neural networkPrediction intervals as quantification of predictions using a neural network
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            • Adam Kowalik
            • Maciej Kowalik
            • Dature
            15 February 2022
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            Prediction intervals as quantification of predictions using a neural network
            Prediction intervals (PPs) offer a convenient way to quantify forecast uncertainty, so they have been widely used in forecasting practice. PPs can provide information about best- […]
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            28 January 2022
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            Recurrent neural networks
            Recursive Neural Networks (RNNs) are used to model and predict variables that evolve over time. Unlike standard neural networks, they have the ability to remember the […]
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            19 January 2022
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            How the AI revolution is changing business
            Artificial intelligence (AI) has been with us since the 1950s, when Alan Turing proposed a test to examine whether a computer could convince a human being […]
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