Titlebook: New Frontiers in Mining Complex Patterns; Third International Annalisa Appice,Michelangelo Ceci,Zbigniew W. Ras Conference proceedings 201

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Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification classification (MLC). Many different approaches to solving multi-label classification problems have been recently developed. Recent empirical studies have comprehensively evaluated many of these approaches on many datasets using different evaluation measures. The studies have indicated that the pre

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Predicting Negative Side Effects of Surgeries Through Clusteringeatments and targets small groups of patients. In previous work, we presented methods for extracting treatment effects from the Florida State Inpatient Databases (SID), which contain over 2.5 million visit discharges from 1.5 million patients. We classified these effects into positive, neutral, and

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Parallel Multicut Segmentation via Dual Decompositionion, for general graphs. Each subproblem is a minimum .-cut problem and can thus be solved efficiently. An optimal reparameterization is found using subgradients and affords a new characterization of the basic LP relaxation of the multicut problem, as well as informed decoding heuristics. The algori