Recently, a research team led by Prof. ZHAO Bangchuan from the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, in collaboration with Prof. XIAO Yao ...

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 ...

Laboratory of Molecular Modeling and QSAR, Faculty of Pharmacy, Federal University of Rio de Janeiro, 373 Carlos Chagas Filho Avenue, Rio de Janeiro, Rio de Janeiro 21941-170, Brazil Laboratory of ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

A machine learning gradient boosting regression system, also called a gradient boosting machine (GBM), predicts a single numeric value. A GBM is an ensemble (collection) of simple decision tree ...

Abstract: The aim of the research work objective is to predict solar power generation using the Novel Gradient Boosting Regressor algorithm compared to the RANSAC Regressor algorithm to improve ...

Codes for food store presence, density and popularity predictor. Merges census tract-level demographic data from ACS, neighborhood amenities from heterogenous sources, and Point of Interest (POI) data ...

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