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Validate and Enable Machine Learning in Industrial AI
However, manufacturers and solution partners need to understand how to implement and integrate an AI model into the existing industrial control system.
Missing Value Imputation Based on Deep Generative Models
In this paper, we propose a probabilistic framework based on deep generative models for MVI.
Nonoverlap-Promoting Variable Selection
Variable selection is a classic problem in machine learning (ML), widely used to find important explanatory factors, and improve generalization performance and interpretability of ML models.
Learning Less-Overlapping Representations
In representation learning (RL), how to make the learned representations easy to interpret and less overfitted to training data are two important but challenging issues.
Predicting Discharge Medications at Admission Time Based on Deep Learning
Predicting discharge medications right after a patient being admitted is an important clinical decision, which provides physicians with guidance on what type of medication regimen to plan for and what possible changes on initial medication may occur during an inpatient stay.
