نتایج جستجو برای: mislabeling
تعداد نتایج: 239 فیلتر نتایج به سال:
Mislabeling of seafood products and marketing protected species remains a worldwide issue despite the labeling regulations set at local, European International level. DNA barcoding has proven to be most popular accurate method detection fraudulent products. This study investigated batoid meat market Greece, mislabeling rates occurrence. A total 114 ray were collected from fishmongers, open mark...
This paper considers the problem of machine learning image classification from social media website data. People on socialmedia websites produce behemoth amounts of data for machine learning. However, the wide-range of image types and labeling confusion makes it difficult to train high-quality classifiers. This paper proposes an approach to automatically identify mistagged images using ensemble...
Mislabeling of laboratory samples has been found to be a high-risk issue in acute care hospitals. The goal of this study was to decrease mislabeled blood specimens. In the first year after the implementation of a positive patient identification system using barcoding and computer technology, the number of labeling errors decreased from 103 to 8 per year. The outcome was clinically and statistic...
Understanding prediction errors and determining how to fix them is critical to building effective predictive systems. In this paper, we delineate four types of prediction errors (mislabeling, representation, learner and boundary errors) and demonstrate that these four types characterize all prediction errors. In addition, we describe potential remedies and tools that can be used to reduce the u...
OBJECTIVE There is confusion in the rehabilitation literature about case-control studies because terms such as "cases" and "controls", used to refer to the subjects in the study, are confused with the design of the study. The aim of this study was to estimate the extent to which the label "case-control study" is misused in the rehabilitation literature and in the literature of other health disc...
0167-8655/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.patrec.2010.09.004 ⇑ Corresponding author. Address: National Centre f okritos”, Athens, Greece. Tel.: +302106503204; fax: + E-mail address: [email protected] (A. Kri In this paper, we address the problem of learning aspect models with partially labeled data for the task of document categorization. The motivation of this w...
In high-throughput molecular profiling studies, genotype labels can be wrongly assigned at various experimental steps; the resulting mislabeled samples seriously reduce the power to detect the genetic basis of phenotypic variation. We have developed an approach to detect potential mislabeling, recover the "ideal" genotype and identify "best-matched" labels for mislabeled samples. On average, we...
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