A multivariate Bayesian IRT CAT framework accelerated by direct sampling and optimized with double deep Q-learning for non-myopic item selection.
MIT Press, 2016.http://www.deeplearningbook.org
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New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.
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Deep Computerized Adaptive Testing
A multivariate Bayesian IRT CAT framework accelerated by direct sampling and optimized with double deep Q-learning for non-myopic item selection.
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An Imbalanced Dataset with Multiple Feature Representations for Studying Quality Control of Next-Generation Sequencing
New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.