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May 23, 2006 � A novel NLP task, automatic survey coding, is described, and two methods for performing this task are presented.
The survey classification task can be defined as follows: design a device which is capable of accurately assigning responses in a dataset into a set of�...
A Performance Evaluation of Automatic Survey Classifiers. Peter Viechnicki. University of Chicago. 1. Introduction. Open-ended survey questions have long been�...
Recommendations � Automatic speech recognition using neural network classifiers � Performance Evaluation of Different Modeling Methods and Classifiers with MFCC�...
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To evaluate the performance of classifiers various evaluation methods like random sampling, linear sampling and bootstrap sampling are used. Our results shows�...
Mar 15, 2022 � The POD is a probabilistic method to quantify the reliability of a diagnostic procedure taking into account statistical variability of sensor and measurements�...
Sep 9, 2022 � In this experiment, we assessed the performance of 14 different classifiers and determined their accuracy.
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Mar 14, 2024 � We examined whether a machine-learning-based automated scoring system can mimic the human similarity task performance.
This paper provides a comprehensive performance analysis of parametric and non-parametric machine learning classifiers including a deep feed-forward�...
A Review of Performance Evaluation Measures for Hierarchical Classifiers ... This survey reviewed some of the main evaluation measures for hierarchical�...
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