In Hierarchical Multi-label Classification (HMC), rich hierarchical information is used to improve classification performance. Global approaches learn a single model for the whole class hierarchy [3, 6]. Local approaches introduce hierarchical information to the local prediction results of all the local classifiers to obtain the global prediction results for all the nodes [2, 5]. In this paper,...

BACKGROUND Anecdotal evidence suggests that transcatheter aortic valve implantation (TAVI) is being used beyond pre-market label indications. METHODS To assess the frequency and outcomes associated with "off-label" use of TAVI, we conducted a retrospective study, examining adherence to patient selection criteria in 63 patients undergoing implantation with the 18F CoreValve ReValving System (C...

In this work, we study the problem of transductive pairwise classification from pairwise similarities 1. The goal of transductive pairwise classification from pairwise similarities is to infer the pairwise class relationships, to which we refer as pairwise labels, between all examples given a subset of class relationships for a small set of examples, to which we refer as labeled examples. We pr...

Multi-label classification has gained significant attention during recent years, due to the increasing number of modern applications associated with multi-label data. Despite its short life, different approaches have been presented to solve the task of multi-label classification. LIFT is a multi-label classifier which utilizes a new strategy to multi-label learning by leveraging label-specific ...

The goal of multi-label classification is to predict multiple labels per data point simultaneously. Real-world applications tend to have high-dimensional label spaces, employing hundreds or even thousands of labels. While these labels could be predicted separately, by capturing label correlation we might achieve better predictive performance. In contrast with previous attempts in the literature...

Introduction: Applying of a new indicator in food packaging can be effective to inform consumers about the freshness and quality of the products. Materials and Methods: In the current study, a new milk freshness label was investigated containing beetroot color and multi layers of polystyrene. The label characteristics were investigated by estimating color number, release test, and scanning ele...

to evaluate off-label and off-nccn guidelines uses of antineoplastic drugs in a major chinese hospital.totally 1122 patients were selected from july to december 2011. then, the off-label and off-nccn guidelines uses of antineoplastic drugs were analyzed.in 798 of 1122 patients (71.12%), drugs were used for off-label. in 317 of 1122 patients (28.25%), the drugs were prescribed for off-label and ...

In this paper, we propose the MIML (Multi-Instance Multi-Label learning) framework where an example is described by multiple instances and associated with multiple class labels. Compared to traditional learning frameworks, the MIML framework is more convenient and natural for representing complicated objects which have multiple semantic meanings. To learn from MIML examples, we propose the Miml...