Results 41 to 50 of about 2,841,275 (318)
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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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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IEEE AccessThe confusion matrix is the tool commonly used for the evaluation of the performance of a classification algorithm. While the computation of the confusion matrix for multi-class classification follows a well-developed procedure, the common approach for ...
Damir Krstinic +3 more
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Neutrino Interactions in Octet Baryon Matter
, 2003 Neutrino processes caused by the neutral current are studied in octet baryon matter. Previous confusion about the baryonic matrix elements of the neutral current interaction is excluded, and a correct table for them improved by consideration of the ...
Prakash +3 more
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Utilization of Fuzzy Ontology for the Meaning of Homonymous and Homophones Ambiguous Sentences
Qubahan Academic Journal, 2023 The ambiguous sentences Homonyms and Homophones become a big problem when processed by computers. From these problems, a Novelty was found; the Novelty created a system that was able to recognize ambiguous sentences of Homonyms and Homophones.
I Ketut Gede Darma Putra +1 more
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