Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Predicting students performance in final examination using linear regression and multilayer perceptron
PREDICTION OF STUDENT ACADEMIC PERFORMANCE BY AN APPLICATION OF DATA MINING TECHNIQUES
A Decision Tree Algorithm Pertaining to the Student Performance Analysis and Prediction
Early Prediction of Students' Grade Point Averages at Graduation: A Data Mining Approach.
prediction of air temperature using multi - layer perceptrons with levenberg - marquardt training algorithm .
Predicting Dropout in Higher Education Based on Secondary School Performance
Extended hierarchical extreme learning machine with multilayer perceptron
Use of machine learning techniques for educational proposes: a decision support system for forecasting students’ grades
A survey on multi-output regression
prediction with multilayer perceptron , fir and elman neural networks .
Predicting NDUM Student's Academic Performance Using Data Mining Techniques
Approximation capabilities of multilayer feedforward networks
Application of Data Mining in predicting placement of students
Bounds on the number of hidden neurons in multilayer perceptrons
Predicting Academic Performance from Behavioural and Learning Data
EXTRACTING RULES FROM MULTILAYER PERCEPTRONS IN CLASSIFICATION PROBLEMS: A CLUSTERING-BASED APPROACH
Predicting Dropout-Prone Students in E-Learning Education System
Capabilities of threelayered perceptrons
Links between perceptrons, MLPs and SVMs
Comparison of three classification techniques: CART, C4.5 and Multi-Layer Perceptrons
A comparative analysis of machine learning techniques for student retention management
mean – variance portfolio optimization when means and covariances are unknown1 by tze .
The State of Automated Bridge Play
Student Academic Performance Monitoring and Evaluation Using Data Mining Techniques
sparse mri : the application of compressed sensing for rapid mr imaging .
THE USE OF INTERNET RESOURCES BY UNIVERSITY STUDENTS DURING THEIR COURSE PROJECTS ELICITATION: A CASE STUDY