What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Weaver contests receivership and says company worth at least $600M. Receiver, Farm Credit report insolvency; receiver notes missing tax returns. Court will hear Feb. 9 on receivership, foreclosure ...
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 ...
ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
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 ...
The health status of bearings is an essential prerequisite to ensure the safe and stable operation of vehicles. However, the negative impact of covariate shifts among data channels on diagnostic ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results