Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...
The purpose of this project was to build and analyse various deep learning models for text readability classification in order to determine whether a piece of text is easy or hard to read. Naive Bayes ...
Abstract: In this paper we present a geometric extension of K-Nearest Neighbors (KNN) classifier, one that improves classification performance by retaining the structural relationships between ...
RapidFit handles the two biggest pain points in text classification: not enough data and too many separate models. Give it a few examples per class, and it will generate more training data using LLMs, ...
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