We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...
Diagnostic pathology reports are crucial for accurate identification of disease (or lack thereof), yet due to the unstructured nature of these reports, they are not easily consumable by promising ...
Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Motion sickness is a major barrier to passenger comfort, particularly during nighttime journeys when visual cues are limited.
A new classification tree offers a practical alternative for evaluating esophagogastric junction outflow disorders when more ...
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