John from Naples, Florida, has done everything by the book. He earned a bachelor’s in business, followed it up with a master’s in data analytics, and spent the last year applying to over 2,000 jobs ...

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

SmartKNN is a nearest-neighbor–based learning method that belongs to the broader KNN family of algorithms.

This project detects spam messages in SMS, including those written in regional languages typed in English. It uses an extended SMS dataset and applies the Monte Carlo method with various supervised ...

Abstract: K-Nearest Neighbor (KNN) is a widely used algorithm to gain an accurate and efficient classification. One of the drawbacks of the algorithm is the time required to calculate the distance for ...

Abstract: With the rapid development of information technology, the concept of big data is used in information collection on different things, especially for the text classification. This paper ...