منابع مشابه
Confidence Interval Distributions 1
Methodological recommendations strongly emphasize the routine reporting of effect sizes and associated confidence intervals to express the uncertainty around the primary outcomes. Confidence intervals (CI) for unstandardized effects are easy to construct; However, CI’s for standardized measures such as the standardized mean difference (i.e., Cohen’s d), the Pearson product-moment correlation, p...
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1 David W. Petr, University of Kansas, Department of Electrical Engineering and Computer Science, Lawrence, KS 66045, [email protected] Abstract -The important skill of building confidence in one’s analysis through sanityand cross-checking is often poorly acquired by engineering students. An introductory circuit analysis class presents an ideal opportunity in which to emphasize and measure th...
متن کاملNormalization of ASR confidence classifier scores via confidence mapping
Speech recognition confidence classifier (CC) score quantitatively represents the correctness of decoded utterances in a [0,1] range. We associate an operating threshold with the classifier and accept recognitions with scores greater than the threshold. Speech developers may set their own threshold but often an acoustic model (AM) or CC update alters the correct-accept (CA) vs. false-accept (FA...
متن کاملCan Confidence Scores Post-editing Speech Recog
When dictating with speech recognition, most of the user’s time is spent correcting errors. To decrease the burden we propose new editor functions specifically to speed up the correction process. The idea is to use a recognition confidence measure to predict which words are likely to be in error, to display that information to the user by highlighting suspect words, and to provide a command to ...
متن کاملGUIDANCE: a web server for assessing alignment confidence scores
Evaluating the accuracy of multiple sequence alignment (MSA) is critical for virtually every comparative sequence analysis that uses an MSA as input. Here we present the GUIDANCE web-server, a user-friendly, open access tool for the identification of unreliable alignment regions. The web-server accepts as input a set of unaligned sequences. The server aligns the sequences and provides a simple ...
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ژورنال
عنوان ژورنال: Econometrics
سال: 2020
ISSN: 2225-1146
DOI: 10.3390/econometrics8030027