Use of a Machine Learning Algorithm to Classify Expertise
نویسندگان
چکیده
منابع مشابه
Use of a machine learning algorithm to classify expertise: analysis of hand motion patterns during a simulated surgical task.
PURPOSE To test the hypothesis that machine learning algorithms increase the predictive power to classify surgical expertise using surgeons' hand motion patterns. METHOD In 2012 at the University of North Carolina at Chapel Hill, 14 surgical attendings and 10 first- and second-year surgical residents each performed two bench model venous anastomoses. During the simulated tasks, the participan...
متن کاملA Machine Learning Approach to Classify Sleep Stages of Rats
Identifying the vigilance states of the mammalian is an important research topic to bioscience in recently years, which the vigilance states is usually categorized as slow wave sleep, rapid eye movement sleep, and awake, etc. To discriminate difference vigilance states, a well-trained expert needs spend a long time to analyze a mass of physiological record data. In this paper, we proposed an au...
متن کاملReal-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm
The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...
متن کاملon the relationship between self- regulated learning strategies use and willingness to communicate in the context of writing
این تحقیق به منظور بررسی رابطه بین میزان استراتژیهای خود-تنظیم شده یادگیری و تمایل به ایجاد ارتباط دانشجویان زبان انگلیسی انجام شده است.علاوه بر این،روابط و کنش های موجود بین ریزسنجه های استراتژیهای خود-تنظیم شده یادگُیری ، مهارت نگارش و تمایل به برقراری ارتباط و همچنین تاٍثیرجنسیت دانشجویان زبان انگلیسی در استراتژیهای خود-تنظیم شده یادگیری و تمایل به برقراری ارتباط آنها مورد بررسی قرار گرفته شد.
15 صفحه اولLearning to Classify Galaxy Shapes Using the EM Algorithm
We describe the application of probabilistic model-based learning to the problem of automatically identifying classes of galaxies, based on both morphological and pixel intensity characteristics. The EM algorithm can be used to learn how to spatially orient a set of galaxies so that they are geometrically aligned. We augment this “ordering-model” with a mixture model on objects, and demonstrate...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Academic Medicine
سال: 2014
ISSN: 1040-2446
DOI: 10.1097/acm.0000000000000316