Predicting blastocyst formation from oocyte mechanical properties: a comparison of a machine learning classifier with embryologist morphological assessment
نویسندگان
چکیده
منابع مشابه
a comparison of teachers and supervisors, with respect to teacher efficacy and reflection
supervisors play an undeniable role in training teachers, before starting their professional experience by preparing them, at the initial years of their teaching by checking their work within the proper framework, and later on during their teaching by assessing their progress. but surprisingly, exploring their attributes, professional demands, and qualifications has remained a neglected theme i...
15 صفحه اولassessment of deep word knowledge in elementary and advanced iranian efl learners: a comparison of selective and productive wat tasks
testing plays a vital role in any language teaching program. it allows teachers and stakeholders, including program administrators, parents, admissions officers and prospective employers to be assured that the learners are progressing according to an accepted standard (douglas, 2010). the problems currently facing language testers have both practical and theoretical implications but the first i...
a comparison of linguistic and pragmatic knowledge: a case of iranian learners of english
در این تحقیق دانش زبانشناسی و کاربردشناسی زبان آموزان ایرانی در سطح بالای متوسط مقایسه شد. 50 دانش آموز با سابقه آموزشی مشابه از شش آموزشگاه زبان مختلف در دو آزمون دانش زبانشناسی و آزمون دانش گفتار شناسی زبان انگلیسی شرکت کردند که سوالات هر دو تست توسط محقق تهیه شده بود. همچنین در این تحقیق کارایی کتابهای آموزشی زبان در فراهم آوردن درون داد کافی برای زبان آموزان ایرانی به عنوان هدف جانبی تحقیق ...
15 صفحه اولLearning classifier systems from first principles : a probabilistic reformulation of learning classifier systems from the perspective of machine learning
Learning Classifier Systems (LCS) are a family of rule-based machine learning methods. They aim at the autonomous production of potentially humanreadable results that are the most compact generalised representation whilst also maintaining high predictive accuracy, with a wide range of application areas, such as autonomous robotics, economics, and multi-agent systems. Their design is mainly appr...
متن کاملExtreme Learning Machine as a New Framework in Predicting Material Properties: Methodology and Comparison
Material properties are very important in most mechanical engineering computations. Numerous approaches have been proposed to estimate these material properties such as State of Equations, Statistical Regression, and Neural Networks modeling schemes. Unfortunately, accuracy of some of these earlier approaches is often limited. Recently, extreme learning machine has been proposed as a new comput...
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: Fertility and Sterility
سال: 2018
ISSN: 0015-0282
DOI: 10.1016/j.fertnstert.2018.07.100