BIOENGINEER

New Graph-Based Algorithm Tames Streaming Features in High-Dimensional Data

Machine learning models are often drowning in data, but the problem is not always the sheer volume of samples. Increasingly, ...
BIOENGINEER

Satellites and Machine Learning Fall Short at Reading Peanut Photosynthesis From Space

In the sun-baked peanut fields of southern Georgia, a team of researchers has put one of precision agriculture’s most ...
quantumzeitgeist

Researchers Build Quantum Multi-Label k-Nearest Neighbor Algorithm

Researchers at the College of Computer Science and Electronic Engineering, Hunan University, are addressing a critical bottleneck in machine learning: the increasing time demands of the multi-label ...
Frontiers

Improving the estimation accuracy of rice leaf protein nitrogen using data augmentation, explainable machine learning, and UAV hyperspectral imagery

Efficiently estimating the protein nitrogen content of rice leaves (LPN) is crucial for monitoring the nutritional health of rice and guiding precision fertilization based on requirements. Unmanned ...
adweek

Dove Built a Vending Machine to Show How Algorithms Flatten Beauty

Look to the ancient Greeks, and it’s clear our obsession with the idealized body is nothing new. Today, though, women and girls are compared to highly edited images on social media rather than ...
IEEE

Evaluation of Classical and Ensemble Machine Learning Algorithms in KNN-Based Missing Data Imputation

Abstract: This study examined methods for analyzing data with complex structures, extreme values, and NaN values using machine learning models. The techniques of removing NaN values and using KNN ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Scientific Research Publishing

Larose, D.T. and Larose, C.D. (2014) k-Nearest Neighbor Algorithm.

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 ...
letsdatascience

K-Nearest Neighbors: Distance, Scaling, and Choosing K

"You are the average of the five people you spend the most time with." Jim Rohn's famous line is not just life advice; it is the entire operating principle behind K-Nearest Neighbors (KNN). The ...