Results 221 to 230 of about 97,372 (256)

A LETTER‐DIGIT MATRIX OF AUDITORY CONFUSIONS

British Journal of Psychology, 1973
A matrix is presented of the errors of perception made by 135 men and women listening to three male and three female speakers reading aloud different randomized lists constructed from the letters of the alphabet and the digits 1–9, heard in white noise. Data from a short‐term memory (STM) experiment, using simultaneous visual presentation and immediate
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Confusion Matrix Based Reweighting

2013
This paper introduces a method to rebalance the output of classification algorithms using the corresponding confusion matrices. This is done by modifying the classification output, i.e. reweighting predictions, when they can be interpreted as probabilities.
Vincent Damian Warmerdam, Zoltán Szlávik   +1 more
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The Matrix of Confusion—a Classification of Robot Movement

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 1996
The human-machine interface for robots has received only limited attention as robots have developed. Most research has focused on the design of teach pendants, hand-held devices for programming and manual motion control. Results from these studies have been generally inconclusive as to the best control design for teach pendants.
E C Morley, J R Wilson
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A confusion matrix for the study of taste perception.

Perception & psychophysics, 2000
Taste stimulus identification was studied in order to more thoroughly examine human taste perception. Ten replicates of an array of 10 taste stimuli--NaCl, KCl, Na glutamate, quinine. HCl, citric acid, sucrose, aspartame, and NaCl-sucrose, acid-sucrose, and quinine-sucrose mixtures--were presented to normal subjects for identification from a list of ...
T P, Hettinger, J F, Gent, L E, Marks, M E, Frank   +3 more
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On the Confusion Matrix

Configurations
ABSTRACT: Confusion matrices are graphical objects used in machine learning to demonstrate the efficacy of models. They frequently take the form of brightly colored figures adorning scientific reports and technical documents. Guiding readers of these texts through an interpretation of models with their special affordances, such as diagonal lines that ...
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Phonetic confusion matrix based spoken document retrieval

Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, 2000
Combined word-based index and phonetic indexes have been used to improve the performance of spoken document retrieval systems primarily by addressing the out-of-vocabulary retrieval problem. However, a known problem with phonetic recognition is its limited accuracy in comparison with word level recognition.
Savitha Srinivasan, Dragutin Petkovic
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An alternative confusion matrix implementation for PreCall

2020
In this work, we examine literature on creating visualizations for the performance of machine learning classifiers, with our target group being users with limited machine learning experience. The underlying data is taken from Wikipedia, and more specifically ORES - Wikimedia’s service, which employs a machine learning model to score edits and articles.
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Formulation of the kernel logistic regression based on the confusion matrix

2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Imbalanced data classification, which is a common and important problem in various fields related to the detection of anomaly, failure, and risk, has been studied intensively. Conventional methods are based on sampling, misclassification costs, or ensemble of classifiers, and many of them are heuristic and task dependent.
Miho Ohsaki, Kenji Matsuda, Peng Wang, Shigeru Katagiri, Hideyuki Watanabe   +4 more
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Proper comparison among methods using a confusion matrix

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
An important aspect of research in the remote sensing field is to objectively compare different classifiers. This is the foundation of hundreds of research projects and in this paper we will address some raising concerns when evaluating solutions for classification of data sets with skewed class distributions.
Brian P. Salmon, Waldo Kleynhans, Colin P. Schwegmann, Jan C. Olivier   +3 more
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Confusion plot for the confusion matrix

Journal of the Korean Data And Information Science Society, 2021
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