Results 51 to 60 of about 1,373,879 (350)
Learning mechanism for a collective classifier based on competition driven by training examples [PDF]
Известия высших учебных заведений: Прикладная нелинейная динамикаThe purpose of this work is to modify the learning mechanism of a collective classifier in order to provide learning by population dynamics alone, without requiring an external sorting device.
Sutyagin, A. A., Kanakov, Oleg Igorevich
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Adversarially Learned One-Class Classifier for Novelty Detection [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Novelty detection is the process of identifying the observation(s) that differ in some respect from the training observations (the target class). In reality, the novelty class is often absent during training, poorly sampled or not well defined. Therefore,
M. Sabokrou +3 more
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Enhancing testing cell set efficiency: A machine learning approach on hard disk drive data
Manufacturing ReviewHard Disk Drive (HDD) products undergo meticulous testing procedures to ensure their functionality prior to customer distribution. Nevertheless, anomalies can arise within the testing environment due to various factors, such as an increased number of ...
Rakcheep Maneerat +3 more
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Pyrolysis Kinetics of Pine Waste Based on Ensemble Learning
EnergiesThis article aimed to incorporate the coordinated construction of classifiers to develop a model for predicting the pyrolysis of loose biomass. For the purposes of application, the ground form of pine cone was used to perform the thermogravimetric ...
Alok Dhaundiyal, Laszlo Toth
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The Journal of Pathology: Clinical Research, 2021 Diagnosing bone and soft tissue neoplasms remains challenging because of the large number of subtypes, many of which lack diagnostic biomarkers. DNA methylation profiles have proven to be a reliable basis for the classification of brain tumours and ...
Iben Lyskjær +14 more
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ROCR: visualizing classifier performance in R
Bioinform., 2005 UNLABELLED ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. It features over 25 performance measures that can be freely combined to create two-dimensional performance curves.
Tobias Sing +3 more
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Machine Learning-Driven QoT Prediction for Enhanced Optical Networks in DWDM System
IEEE AccessThis research demonstrated the machine learning (ML) classifiers with regression learning to improve an optical system’s quality of transmission (QoT).
Sudha Sakthivel +4 more
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Agronomy, 2021 Basal stem rot (BSR) disease occurs due to the most aggressive and threatening fungal attack of the oil palm plant known as Ganoderma boninense (G. boninense).
Izrahayu Che Hashim +4 more
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Reactive with tags classifier system applied to real robot navigation [PDF]
, 1999 7th IEEE International Conference on Emerging Technologies and Factory Automation. Barcelona, 18-21 October 1999.A reactive with tags classifier system (RTCS) is a special classifier system.
Molina López, José Manuel +4 more
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Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties
Molecules, 2019 Cotton seed purity is a critical factor influencing the cotton yield. In this study, near-infrared hyperspectral imaging was used to identify seven varieties of cotton seeds.
Susu Zhu +5 more
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