PotatoThanh/Bidirectional-LSTM-and-Convolutional-Neural-Network-For-Temperature-Prediction
We use weather data of Ulsan, Korea from 1980 to 2017 to predict temperature. (⭐ 86)
We use weather data of Ulsan, Korea from 1980 to 2017 to predict temperature. (⭐ 86)
2 days ago · In medicine, a digital twin of a patient’s tumor can simulate how it might respond to different treatments, predicting clinical outcomes before a therapy begins. The prediction is then checked …
The maximum utility estimation proposed by Elliott and Lieli (2013) can be viewed as cost-sensitive binary classification; thus, its in-sample overfitting issue is similar to that of perceptron learning. A utility-maximizing prediction rule (UMPR) is...
We formulate a probabilistic Markov property in discrete time under a dynamic risk framework with minimal assumptions. This is useful for recursive solutions to risk-sensitive versions of dynamic optimisation problems such as optimal prediction, wher...
In this work we introduce an incremental learning framework for Click-Through-Rate (CTR) prediction and demonstrate its effectiveness for Taboola's massive-scale recommendation service. Our approach enables rapid capture of emerging trends through wa...
# Welcome to the 10th annual Singularity Predictions at [r/Singularity](https://www.reddit.com/r/Singularity/). In this yearly thread, we have reflected for a decade now on our previously held estima...
2 days ago · In medicine, a digital twin of a patient’s tumor can simulate how it might respond to different treatments, predicting clinical outcomes before a therapy begins. The prediction is then checked …
Expert predictions & insights from #1 online psychic platform with most accurate psychics: Seeer. Explore topics related to readings, tarot, numerology & more.
The findings of Bornmann, Leydesdorff, and Wang (in press) revealed that the consideration of journal impact improves the prediction of long-term citation impact. This paper further explores the possibility of improving citation impact measurements o...
In survival analysis, longitudinal information on the health status of a patient can be used to dynamically update the predicted probability that a patient will experience an event of interest. Traditional approaches to dynamic prediction such as joi...
Jun 23, 2020 · We asked our 2020 intake of Technology Pioneers for their views on how technology will change the world in the next five years. Here are their predictions.
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Innovaccer Hackercamp '17 Project for predicting the Disease outbreak in U.S.A for historical data for 1960 - 2011 (⭐ 14)
Dec 18, 2025 · Recently, a Wall Street Journal article highlighted that many economists’ predictions about these tariffs fell flat, but glossed over the fact that predictions changed throughout the year …