This project aims to predict house prices using the Ames Housing dataset. The goal is to preprocess the data, train a stacking model with multiple base models, and ...
Objective To estimate the incidence of herpes zoster (HZ) and the incremental healthcare resource utilisation (HRU) and costs ...
Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
Abstract: This paper compares Facebook's Prophet with classic regression-based machine learning algorithms for short-term and long-term forecasting in a client's manufacturing system. The study uses ...
Abstract: A time-space (TS) traffic diagram, which presents traffic states in time-space cells with color, is an important traffic analysis and visualization tool. Despite its importance for ...
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