<--- Back to Details
First PageDocument Content
Statistics / Statistical models / Psychometrics / Machine learning / Educational psychology / Estimation theory / Item response theory / Rasch model / Cross-validation / Regression analysis / SAT
Date: 2016-06-29 00:36:46
Statistics
Statistical models
Psychometrics
Machine learning
Educational psychology
Estimation theory
Item response theory
Rasch model
Cross-validation
Regression analysis
SAT

Evaluating Problem Difficulty Rankings Using Sparse Student Response Data Ari BADER-NATAL 1 , Jordan POLLACK DEMO Lab, Brandeis University Abstract. Problem difficulty estimates play important roles in a wide variety of

Add to Reading List

Source URL: aribadernatal.com

Download Document from Source Website

File Size: 862,62 KB

Share Document on Facebook

Similar Documents

Machine Learning @ Amazon Rajeev Rastogi Director, Machine Learning Key Takeaways •

Machine Learning @ Amazon Rajeev Rastogi Director, Machine Learning Key Takeaways •

DocID: 1xVRp - View Document

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs  Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton  Sudarshan

Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Flexible and Scalable Deep Learning with MMLSpark Mark Hamilton Sudarshan

DocID: 1xVPK - View Document

R E P O RT R E P R I N T  Big data, machine learning shape performance-monitoring developments N A NCY GOHR ING

R E P O RT R E P R I N T Big data, machine learning shape performance-monitoring developments N A NCY GOHR ING

DocID: 1xVNc - View Document

Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs  Marvin - Open source artificial intelligence platform Lucas B. Miguel

Journal of Machine Learning Research, 4th International Conference on Predictive Applications and APIs Marvin - Open source artificial intelligence platform Lucas B. Miguel

DocID: 1xVLb - View Document

Machine Learning for Q&A sites: state of the art and research directions Xavier Amatriain Quora Inc. 650 Castro St #450 Mountain View, CA, US

Machine Learning for Q&A sites: state of the art and research directions Xavier Amatriain Quora Inc. 650 Castro St #450 Mountain View, CA, US

DocID: 1xVAM - View Document