A Bayesian Approach to Binary Classification of Mid-Infrared Spectral Data With Noisy Sensors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2978757
Abstract: The problem of classifying substances using MIR laser and sensors with low signal-to-noise ratio remains challenging. The existing methods rely largely on using lasers at multiple wavelengths and expensive high quality sensors. We propose and… read more here.
Keywords: binary classification; bayesian approach; mid infrared; spectral data ... See more keywords
K Important Neighbors: A Novel Approach to Binary Classification in High Dimensional Data
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DOI: 10.1155/2017/7560807
Abstract: K nearest neighbors (KNN) are known as one of the simplest nonparametric classifiers but in high dimensional setting accuracy of KNN are affected by nuisance features. In this study, we proposed the K important neighbors… read more here.
Keywords: high dimensional; novel approach; important neighbors; approach binary ... See more keywords
A Multi-Agent Approach to Binary Classification Using Swarm Intelligence
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DOI: 10.3390/fi15010036
Abstract: Wisdom-of-Crowds-Bots (WoC-Bots) are simple, modular agents working together in a multi-agent environment to collectively make binary predictions. The agents represent a knowledge-diverse crowd, with each agent trained on a subset of available information. A honey-bee-derived… read more here.
Keywords: agent approach; classification; woc bots; approach binary ... See more keywords