Enhanced Performance of Multimodal Biometric Systems by Confidence Estimation
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Background: Use of a T2 mapping sequence in addition to the conventional knee MRI protocol increases sensitivity to early cartilage lesions but is time consuming. Purpose: To test the in vitro validity of quantitative data from an accelerated parallel T2 m ...
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A common problem for automatic speech recognition systems is how to recognize words that they did not see during training. Currently there is no established method of evaluating different techniques for tackling this problem. We propose using the CommonVoi ...
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We derive confidence intervals (CIs) and confidence sequences (CSs) for the classical problem of estimating a bounded mean. Our approach generalizes and improves on the celebrated Chernoff method, yielding the best closed-form "empirical-Bernstein" CSs and ...
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Synopsis: Create a fair ranking system for the 2018 FIFA World Cup LCAV20171130 Level: BS, MS Description: Imagine that you are given the scores of all the 32 teams participating in the 2 ...
Non-parametric probabilistic classification models are increasingly being investigated as an
alternative to Discrete Choice Models (DCMs), e.g. for predicting mode choice. There exist many strategies within the literature for model selection between DCMs, ...