scholarly journals On Committee Representations of Adversarial Learning Models for Question-Answer Ranking

2019 ◽  
Author(s):  
Sparsh Gupta ◽  
Vitor Carvalho
Author(s):  
Zhenzhen Li ◽  
Jiuming Huang ◽  
Zhongcheng Zhou ◽  
Haoyu Zhang ◽  
Shoufeng Chang ◽  
...  

Decision ◽  
2016 ◽  
Vol 3 (2) ◽  
pp. 115-131 ◽  
Author(s):  
Helen Steingroever ◽  
Ruud Wetzels ◽  
Eric-Jan Wagenmakers

2020 ◽  
Vol 2 (1) ◽  
pp. 3-6
Author(s):  
Eric Holloway

Imagination Sampling is the usage of a person as an oracle for generating or improving machine learning models. Previous work demonstrated a general system for using Imagination Sampling for obtaining multibox models. Here, the possibility of importing such models as the starting point for further automatic enhancement is explored.


2018 ◽  
Vol 2 (5) ◽  
pp. 789
Author(s):  
Maria Yulianti

The background of this study was the low student learning outcomes of PPKn, from 28 students who achievedthe completeness criteria at least only 11 students (39.29%). The low student learning outcomes are caused bythe high level of individuality between students so that the achievement of competence among studentsexperiences a very distant difference. Based on this, the researchers made improvements to student learningoutcomes through the application of STAD cooperative learning models. This research is a classroom actionresearch, with the subject of class VII of SMP Negeri 3 Teluk Kuantan. The data used in this study is PPKnlearning outcomes data. The results stated that after applying the STAD type cooperative learning model studentlearning outcomes had increased in the initial data the number of students who completed were 11 students, incycle I had an increase with the number of 18 students, and in cycle II the number of students who completedcontinued to increase by the number 22 student.


Sign in / Sign up

Export Citation Format

Share Document