A person opens an app, fills out a profile, and waits. Somewhere in a server farm, code runs through millions of data points. It compares answers to questions, analyzes swiping patterns, and weighs ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
Abstract: To address the core issue of high-dimensional data processing in hyperspectral pathological diagnosis, we develop a new feature selection framework using functional data analysis (FSFDA).
According to research, people spend almost all of their physical time online on social media. Here, algorithms individually ...
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