What do the experts know? Calibration, precision, and the wisdom of crowds among forensic handwriting experts
نویسندگان
چکیده
منابع مشابه
The Quest for Musical Genres: Do the Experts and the Wisdom of Crowds Agree?
This paper presents some findings around musical genres. The main goal is to analyse whether there is any agreement between a group of experts and a community, when defining a set of genres and their relationships. For this purpose, three different experiments are conducted using two datasets: the MP3.com expert taxonomy, and last.fm tags at artist level. The experimental results show a clear a...
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The phrase “the wisdom of crowds” suggests that good verdicts can be achieved by averaging the opinions and insights of large, diverse groups of people who possess varied types of information. Online user-generated content enables researchers to view the opinions of large numbers of users publicly. These opinions, in the form of reviews and votes, can be used to automatically generate remarkabl...
متن کاملModeling Wisdom of Crowds Using Latent Mixture of Discriminative Experts
In many computational linguistic scenarios, training labels are subjectives making it necessary to acquire the opinions of multiple annotators/experts, which is referred to as ”wisdom of crowds”. In this paper, we propose a new approach for modeling wisdom of crowds based on the Latent Mixture of Discriminative Experts (LMDE) model that can automatically learn the prototypical patterns and hidd...
متن کاملthe relationship between test-takers and experts perception of prompt difficulty
چکیده مهارت شنیداری برای مدتهای طولانی در آموزش ، تحقیق و ارزیابی مورد غفلت قرار گرفته است. اگرچه در سالهای اخیر به خاطر اهمیت قابل ملاحظه این توانائیها در آموزش و آزمون زبان ، توجه بیشتری به توانائیهای شنیداری شده است. هم چنانکه درک شنیداری در آموزش و ارزیابی زبان دوم اهمیت فزاینده ای می یابد محققین سعی نموده اند تا ماهیت مهارتهای مستتر در مهارت شنیداری را مورد بررسی و مطالعه قرار دهند. هدف ...
15 صفحه اولLearning from Crowds and Experts
Crowdsourcing services are often used to collect a large amount of labeled data for machine learning. Although they provide us an easy way to get labels at very low cost in a short period, they have serious limitations. One of them is the variable quality of the crowd-generated data. There have been many attempts to increase the reliability of crowd-generated data and the quality of classifiers...
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ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2018
ISSN: 1069-9384,1531-5320
DOI: 10.3758/s13423-018-1448-3