This study elucidates how pairwise independence impacts the linkage learning procedures of multivariate EDAs and affects their accuracy.
This chapter presents Integrated Task Learning (ITL), an approach for learning procedures across domains using end-user programming (EUP).
Neuro-fuzzy is a hybrid representation which combines the linguistic description typical of fuzzy inference systems, with learning procedures inspired by neural networks.
In 'contextual learning theory' three types of contextual conditions (differentiation of learning procedures and materials, integrated ICT support, and improvement of development and learning progress) are related to four aspects of the learning process (diagnostic, instructional, managerial, and systemic aspects).
Second, differentiation of learning procedures and materials, design of integrating ICT support, and improvement of development and learning progress are recommended as contextual conditions to optimize the learning process.
A technician, for example, who may have a degree from a community college, also needs training in the basics of manufacturing: showing up on time, learning procedures and how the tools operate, and, increasingly, data analytics to understand when equipment may be functioning outside of acceptable parameters, said Mr. Kimerling, who is also a professor at M.I.T.
To work toward my instructional goal of using knowledge of concepts as a grounding for learning procedures, as well as to address students' problem of knowing "what method to use" the very first time it comes up in the semester, I often start the Math 16B chapter on integration techniques with a very specific, structured intervention that spans two days.
After developing and learning procedures to control the positions that traders across the bank could use, he became one himself in March 2004, trading in index futures in euro-zone stocks on a desk known as Delta One.
Thus, operant learning procedures show that previous exposure to specific maternal vocalizations influenced their capacity to differentially reinforce learning of specific fine motor responses.
The ROC criterion is commonly used to evaluate the performance of learning procedures by measuring the area under the ROC curve (AUC).
In fact, researchers have surveyed the perception of human beauty and developed computational methods capable of accurately predicting consensus opinions by collecting human ratings and developing machine learning procedures based on those ratings [6], [7].
