Abstract: This study presents a computer vision system for grading yellowfin tuna meat using the k-nearest neighbors (k-NN) algorithm. The system utilizes a studio-type light box and a high-definition ...
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 ...
Για την κατασκευή των εκτελέσιμων αρχείων παρέχονται διάφορες εντολές που εξασφαλίζουν τη μεταγλώττιση της κύριας εφαρμογής, των unit tests ...
Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...
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