Ranking and Combining Latent Structured Predictive Scores without Labeled Data
Objective: This paper introduces a novel structured unsupervised ensemble learning model (SUEL) to exploit the dependency between a set of predictors with continuous predictive scores, rank the predictors without labeled data and combine them to an ensembled score with weights.
