منابع مشابه
Learning 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...
متن کاملGlass structures – learning from experts
Despite the increasing research activity on structural use of glass in the past years, there is still a lack of comprehensive design codes and standards linked to real-life applications on a structural level. However, more and more ambitious buildings and structures are built every year. Thus the knowledge is out there. The aim of the presented project is to collect data on the existing design ...
متن کاملLearning Medical Diagnosis Models from Multiple Experts
Building classification models from clinical data often requires labeling examples by human experts. However, it is difficult to obtain a perfect set of labels everyone agrees on because medical data are typically very complicated and it is quite common that different experts have different opinions on the same patient data. A solution that has been recently explored by the research community i...
متن کاملLearning experts' preferences from informetric data
In the field of informetrics, agents are often represented by numeric sequences of non necessarily conforming lengths. There are numerous aggregation techniques of such sequences, e.g., the g-index, the h-index, that may be used to compare the output of pairs of agents. In this paper we address a question whether such impact indices may be used to model experts’ preferences accurately.
متن کاملLearning classification models from multiple experts
Building classification models from clinical data using machine learning methods often relies on labeling of patient examples by human experts. Standard machine learning framework assumes the labels are assigned by a homogeneous process. However, in reality the labels may come from multiple experts and it may be difficult to obtain a set of class labels everybody agrees on; it is not uncommon t...
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ژورنال
عنوان ژورنال: European Diabetes Nursing
سال: 2009
ISSN: 1551-7853,1551-7861
DOI: 10.1002/edn.140