The Concept and Application of Observational Learning 来自 知网 喜欢 0 阅读量: 8 摘要: supports all the CNKI file formats; 被引量: 1 年份: 1991 收藏 引用 批量引用 报错 分享 全部来源 求助全文 知网 相似文献 引证文献Unsupervised concept learning and value systematicitiy: A complex whole ...
Learning DisabilitiesMathematical ModelsReliabilityResearch MethodologySamplingObservational data were collected over a period of 120 school days from 11 elementary level, self-contained, learning disabilities classrooms (N = 105), using the Student-Level Observation of Beginning Reading (SOBR) system. ...
A recent approach in social neuroscience has been the application of formal computational models for a particular social-cognitive process to neuroimaging data. Here we review preliminary findings from this nascent subfield, focusing on observational learning and strategic interactions. We present evidence ...
From my undergraduate research, I gained a solid foundation in observational methods to examine links between how our thoughts may interact with our bodies to produce adverse psychological outcomes. From my postgraduate research, I developed working knowledge of interventional protocols to address ...
SocialLearningTheoryAlbert Bandura’sSocialLearningTheoryhas become the most influentialtheoryoflearningand development. Bandura’stheoryadded asocialelement known as observationallearningand can explain a variety of behaviors. The three core concepts of thesociallearningtheoryis the idea that peopl...
Gravitational waves from spinning neutron stars: Observational results and modelling 2250 51:00 The Gaia mission, Gaia DR3, and science highlights from the Gaia data releases 2303 57:00 Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe ...
However, the existing research based on DML model mostly use traditional machine learning techniques for prediction, which can achieve satisfactory prediction results when the data is free from outliers and follows normal distribution. In the field of bioinformatics, the observational data collected freque...
The λ determines the decline of the rate of weights, so both of these two parameters L and λ define the in-control ARL to evaluate the performance of the RAEWMA chart. The similar design is adopted by Asif and Noor-ul-Amin21 to proposed ARAEWMA control chart. Machine learning and SVM...
Learning curve analysis of the SNRT method. A, B Threading time curves and CUSUM curves for surgeon A using the SNRT method. C, D Threading time curves and CUSUM curves for surgeon B using the SNRT method. E, F Threading time curves and CUSUM curves for surgeon C using the SNRT method...
MD vigilance (MDV) can also identify “real-world” problems associated with the learning curve and other human factors in the use of new devices in clinical settings, as well as interferences between new and existing devices [2]. MD adverse events (AE) occur globally and involve high-...