Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 17 of 17 for “"confidence measures"”.
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Word confidence measures for machine translation
… by the system is incorrect by calculating measures of confidence for each word in this translation. This topic has hardly been investigated in machine translation before. Different ways of determining confidence measures are proposed and experimentally evaluated in this thesis. The basic …
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Modeling energy consumption in the mining and milling of uranium
… it can be applied to other metals. Statistical measures of explanatory power show that the models the energy-to-grade relationship is well-described for both uranium and gold. For copper, there was insufficient data over a broad range of ore grades to obtain a model that passed statistical …
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Word posterior probabilities for large vocabulary continuous speech recognition
… The word posterior probabilities are used as confidence measures for various applications. It is shown that these probabilities are the best confidence measure among those studied in this work. The performance of the confidence measures is evaluated in a unified framework using two evaluation …
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Statistical methods in natural language understanding and spoken dialogue systems
… techniques for error handling based on confidence measures defined for speech recognition and language understanding. Furthermore, we investigate the overall performance of the dialogue system when confidence measures from speech recognition and natural language understanding are …
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The Relationship Between Superstition and Confidence in Sport
… the relationship between superstition and confidence in sport. The Superstitious Rituals Questionnaire, a single-item confidence question, the confidence subscales from the Athletic Coping Skills Inventory- 28, Competitive State Anxiety Inventory-2, Ottawa Mental Skills Assessment Tool-3, …
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Iterative Engineering, System Confidence, and In-space Servicing Assembly & Manufacturing
System Confidence is proposed as a method for quantifying the progress and performance of engineering systems. Confidence measures the degree of certainty that a system, design, or process will perform as intended. This metric aggregates existing tools in model-based systems engineering with …
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A study into the use of self-efficacy and confidence measurements
… by Kirkpatrick (1994) and proposes the use of confidence scales as a means of demonstrating levels of evaluation in this field of training. Trade unions are reliant on the many members that volunteer to be local (unpaid) representatives in their own work places. To ensure the union provides an …
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Geometric uncertainty models for correspondence problems in digital image processing
… transformation uncertainty models, and to infer confidence measures to verify the reliability of the outcome in the correspondence framework. Our procedure aims at finding reliable consistent transformations in sets of few and ill-localized features, possibly containing a large fraction of false …
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Robust and Efficient Deep Learning for Misinformation Prevention
… controlling their accuracy. We introduce new confidence measures and develop novel extensions to the conformal prediction framework. Our methods can dynamically allocate the required computational resources for each input to satisfy an arbitrary user-specified tolerance level. We demonstrate …
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Salivary testosterone and cortisol measurements in profesional elite rugby union players
… Anxiety Inventory-2 (CSAI-2R). Physiological measures indicated that both T and C were significantly higher before competition (p<0.05) than in resting conditions. Furthermore, significant differences between games were found in cortisol response (F = 6.84, p<0.01) and testosterone response (F …
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Investigations on linear transformations for speaker adaptation and normalization
… are available. Another enhancement makes use of confidence measures to care for recognition errors that decrease the adaptation performance in the first pass of a two-pass adaptation process.
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Detection of statistical differences between visual textures as a function of mean dot density
… accuracy of response, latency of response and confidence of judgment. Analyses of variance, Pearson product-moment correlations and Receiver Operating Characteristic (ROC) curves were used to obtain the following results: Detection performances for mean density 12 (log) were generally higher …
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Static and dynamic overproduction and selection of classifier ensembles with genetic algorithms
… rate and ensemble size. Error rate and diversity measures are directly compared in the single-objective optimization approach. Diversity measures are combined with the error rate and with ensemble size, in pairs of objective functions, to guide the multi-optimization approach. Experimental results …
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Regularization, Uncertainty Estimation and Out of Distribution Detection in Convolutional Neural Networks
… relative size in the given image when producing confidence measures. 3) Convolutional neural networks always output in the space of the learnt classes with high confidence while predicting the class of a given image regardless of what the image consists of. For example an ImageNet-1K trained CNN …
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Worried While Prospering – A study of the contradictions between consumer confidence and spending in Hungary
… between higher spending and lower consumer confidence levels, how the measurement can be fine-tuned, as well as holistic recommendations for economic and social decision-makers. The findings of this research should help the comprehension of consumer confidence measures, closing the gap in …
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Self-selection and peer-effects in experimental labor markets
… on non-cognitive skills, particularly self-confidence regarding one's ability. Recent research in psychology and economics has emphasized the importance of non-cognitive skills on labor market outcomes. We used economic experiments to measure participants' beliefs about their expected …
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Análisis, diseño y aplicación de modelos de diálogo flexibles, contextuales y dinámicos basados en redes bayesianas
… dialogue context thanks to, among others: the confidence measures provided by recognition and understanding modules, the history of dialogue, the status of the system, the task model (e.g. a semantic frame containing all the information needed to meet a specific dialogue goal), the application …