Results 21 to 30 of about 486,951 (294)
A Comparison of Model-Assisted Estimators to Infer Land Cover/Use Class Area Using Satellite Imagery
Remote Sensing, 2014 Remote sensing provides timely, economic, and objective data over a large area and has become the main data source for land cover/use area estimation. However, the classification results cannot be directly used to calculate the area of a given land cover/
Yizhan Li +5 more
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Soft Confusion Matrix Classifier for Stream Classification [PDF]
, 2021 In this paper, the issue of tailoring the soft confusion matrix (SCM) based classifier to deal with stream learning task is addressed. The main goal of the work is to develop a wrapping-classifier that allows incremental learning to classifiers that are unable to learn incrementally.
Pawel Trajdos, Marek Kurzynski
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The Southwest Respiratory and Critical Care ChroniclesCitation: 'confusion matrix' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11428 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
Shengping Yang, Gilbert Berdine
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Multi-label Classifier Performance Evaluation with Confusion Matrix
Computer Science & Information Technology, 2020 Confusion matrix is a useful and comprehensive presentation of the classifier performance. It is commonly used in the evaluation of multi-class, single-label classification models, where each data instance can belong to just one class at any given point in time. However, the real world is rarely unambiguous and hard classification of data instance to a
Krstinić, Damir +3 more
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Evaluating Trust Prediction and Confusion Matrix Measures for Web Services Ranking
IEEE Access, 2020 To accurately rank various web services can be a very challenging task depending on the evaluation criteria used, however, it can play an important role in performing a better selection of web services afterward.
Muhammad Hasnain +5 more
doaj +1 more source
Reinforcement Learning with Perturbed Rewards
, 2020 Recent studies have shown that reinforcement learning (RL) models are vulnerable in various noisy scenarios. For instance, the observed reward channel is often subject to noise in practice (e.g., when rewards are collected through sensors), and is ...
Li, Bo, Liu, Yang, Wang, Jingkang
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Detection and Classification of Some Diseases of Tomato Crops Using Transfer Learning [PDF]
Journal of Agricultural MachineryIn the context of plant diseases, the selection of appropriate preventive measures, such as correct pesticide application, is only possible when plant diseases have been diagnosed quickly and accurately.
I. Ahmadi
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Annual modulation of the Galactic binary confusion noise bakground and LISA data analysis
, 2004 We study the anisotropies of the Galactic confusion noise background and its effects on LISA data analysis. LISA has two data streams of the gravitational waves signals relevant for low frequency regime.
C. Cutler +20 more
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Technical report: Cost-benefit analysis of cooking banana seed propagation methods [PDF]
, 2013 Confusion matrix obtained as a result of Bayesian classification of EEG patterns, corresponding to various eye movements and blinking, after EOG artifact removal.
Alexander Frolov (349962) +5 more
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Confusion Matrix Disagreement for Multiple Classifiers [PDF]
, 2007 We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the disagreement concept. The goal is to define an alternative approach to the conventional recognition rate criterion, which usually requires an exhaustive combination search.
Cinthia O. A. Freitas +4 more
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