Confidence measures
Balancing User Effort and Translation Error in Interactive Machine Translation via Confidence Measures
... of confidence measures within an interactive- predictive machine translation system in order to reduce human ...apply confidence estimation as a way to achieve a balance between user effort sav- ings ...
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Statistical Confidence Measures for Probabilistic Parsing
... statistical confidence measures for parsing, which are estimated from posterior proba- bility of ...These measures allow us to mark each constituent of a parse tree as correct or incor- ...of ...
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Confidence Measures in Multiclass Speech Emotion Recognition Using Ensemble Learning To Catch Blunders
... of confidence extraction in the multiclass problem of ...and confidence in SER ...possible confidence in its ...how confidence measures can be useful as a tool to catch blunderous ...
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Confidence Measures for Error Discrimination in an Interactive Predictive Parsing Framework
... of Confidence Measures (CM) for erroneous constituent discrimi- nation in an Interactive Predictive Parsing (IPP) ...the confidence threshold (globally and per-interaction), and observe that CMs re- ...
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Multiple prediction combination and confidence measures for marine object detection
... Haar Classifier Cascades usually return a binary output: object or non-object. In chapter 6, they were modified to return a numeric measure of their confidence. Two means of using this measure were developed in ...
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Multiple prediction combination and confidence measures for marine object detection
... on confidence mapped detections were ...with confidence mapped detections was more accurate than matching starting with binary ...that confidence mapping was more accurate than binary detection for ...
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Multiple prediction combination and confidence measures for marine object detection
... IEEE International Conference on Computer Vision and Pattern Recognition CVPR’01, 511–518.. Robust real-time object detection.[r] ...
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Multiple prediction combination and confidence measures for marine object detection
... Figure B.5: ROC curves for seahorse segment detection on rotated images using binary detection followed by hill-climbing, varying the cascade random angle range... Appendix B Confidence-[r] ...
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Multiple prediction combination and confidence measures for marine object detection
... This appendix contains the individual ROC curves plotted during rotated object de- tection using the confidence-based methods described in chapter 6. As in section 5.4, graphs are shown in pairs, with the first ...
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Multiple prediction combination and confidence measures for marine object detection
... detection confidence mapping was also usually better than hill-climbing, which was in turn mostly better than binary ...6.1.2.2, confidence mapping with multiple rotated cas- cades showed large ...
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Multiple prediction combination and confidence measures for marine object detection
... 6.13 ROC curves for seahorse segment detection using binary detection, bi- nary detection followed by hill-climbing, and confidence mapping . . . . 99 6.14 Frequency of hill-climbing steps made during object ...
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Multiple prediction combination and confidence measures for marine object detection
... As boosting runs through multiple iterations, the boosted classifier’s error on both training and testing data decreases rapidly; the training error may even decrease to zero. If boosting continues past this point, its ...
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Multiple prediction combination and confidence measures for marine object detection
... Virtual attribute subsetting is a meta-classification technique which will be shown in chapter 6 to improve the performance of the confidence mapping technique described there. It was created in this work as a ...
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Multiple prediction combination and confidence measures for marine object detection
... For the first face detection an existing cascade was used, so the only dataset required was a collection of test images distinct from its training images.. For the other sets fish and se[r] ...
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Multiple prediction combination and confidence measures for marine object detection
... With detection on rotated images at 15◦ steps, the best fish detection cascades were trained on an angle range of 30◦ ±15◦ , resulting in overlapping angle ranges.. This may be seen in f[r] ...
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The relationship between confidence and accuracy with verbal and verbal + numeric confidence scales
... verbal confidence measures (highly confident, somewhat confident) with a small number of values, whereas psychologists measuring the confidence – accuracy relationship typically use numeric scales ...
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Development and validation of the self-management profile for type 2 diabetes (SMP-T2D)
... The results of the validation studies provide prelimin- ary support for the reliability and validity of the SMP- T2D. Internal consistency for multiple-item measures was acceptable and test-retest reliability was ...
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Evaluating measures of optimism and sport confidence
... MEASURING OPTIMISM AND SPORT CONFIDENCE 1 14 A general seven-factor measurement model involving all 33 items was specified to test 2 the convergent validity of the SCI, CSCI, and LOT-R s[r] ...
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Statements of the Foreign Ministers and other documents. European Political Cooperation, 1984
... Speech by the Foreign Minister of France at the opening session of the Stockholm Conference on Confidence and SecurityBuilding Measures and Disarmament in Europe Statements on Lebanon, I[r] ...
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Student ambassadors for digital literacy (SADL): evaluation & impact report 2015/16
... In evaluating the impact of SADL, the team considered the following as measures of success: Student satisfaction levels with the programme Evidence of increased knowledge/confidence [r] ...
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