Results 21 to 30 of about 490,396 (287)

Hierarchical confusion matrix for classification performance evaluation

Journal of the Royal Statistical Society Series C: Applied Statistics, 2023
Abstract This study proposes the novel concept of hierarchical confusion matrix, opening the door for popular confusion-matrix-based (flat) evaluation measures from binary classification problems, while considering the peculiarities of hierarchical classification problems.
Kevin Riehl, Michael Neunteufel, Martin Hemberg   +2 more
openaire   +3 more sources

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, Xiufang Zhu, Yaozhong Pan, Jianyu Gu, Anzhou Zhao, Xianfeng Liu   +5 more
doaj   +1 more source

On non-abelian generalisation of Born-Infeld action in string theory [PDF]

, 1997
We show that the part of the tree-level open string effective action for the non-abelian vector field which depends on the field strength but not on its covariant derivatives, is given by the symmetrised trace of the direct non-abelian generalisation of ...
A.A. Tseytlin, Abouelsaood, Aharony, Andreev, Andreev, Andreev, Argyres, Bachas, Banks, Banks, Bergshoeff, Bergshoeff, Brown, Dai, Das, Dorn, Dorn, Dorn, Duff, Eguchi, Fradkin, Fradkin, Fridling, Ganor, Gervais, Green, Green, Green, Gross, Gross, Hagiwara, Kitazawa, Leigh, Leutwyler, Lovelace, Metsaev, Neveu, Periwal, Periwal, Russo, Scherk, Schmidhuber, Shifman, Taylor, Townsend, Tseytlin, Tseytlin, Tseytlin, Tseytlin, Tseytlin, Witten   +50 more
core   +3 more sources

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
openaire   +2 more sources

Confusion matrix

The Southwest Respiratory and Critical Care Chronicles
Citation: '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
openaire   +2 more sources

Unconfused Ultraconservative Multiclass Algorithms [PDF]

, 2013
We tackle the problem of learning linear classifiers from noisy datasets in a multiclass setting. The two-class version of this problem was studied a few years ago by, e.g. Bylander (1994) and Blum et al.
Louche, Ugo, Ralaivola, Liva
core   +6 more sources

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, Braović, Maja, Šerić, Ljiljana, Božić-Štulić, Dunja   +3 more
openaire   +3 more sources

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
core   +1 more source

Information Theory’s failure in neuroscience: on the limitations of cybernetics [PDF]

, 2014
In Cybernetics (1961 Edition), Professor Norbert Wiener noted that “The role of information and the technique of measuring and transmitting information constitute a whole discipline for the engineer, for the neuroscientist, for the psychologist, and for ...
Nizami, Lance
core   +1 more source

Detection and Classification of Some Diseases of Tomato Crops Using Transfer Learning [PDF]

Journal of Agricultural Machinery
In 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
doaj   +1 more source