Hyperbolic Interaction Model for Hierarchical Multi-Label Classification
نویسندگان
چکیده
منابع مشابه
Global Model for Hierarchical Multi-Label Text Classification
The main challenge in hierarchical multilabel text classification is how to leverage hierarchically organized labels. In this paper, we propose to exploit dependencies among multiple labels to be output, which has been left unused in previous studies. To do this, we first formalize this task as a structured prediction problem and propose (1) a global model that jointly outputs multiple labels a...
متن کاملExtending ReliefF for Hierarchical Multi-label Classification
In the recent years, the data available for analysis in machine learning is becoming very high-dimensional and also structured in a more complex way. This emphasises the need for developing machine learning algorithms that are able to tackle both the high-dimensionality and the complex structure of the data. Our work in this paper, focuses on extending a feature ranking algorithm that can be us...
متن کاملExploiting Label Dependency for Hierarchical Multi-label Classification
Hierarchical multi-label classification is a variant of traditional classification in which the instances can belong to several labels, that are in turn organized in a hierarchy. Existing hierarchical multi-label classification algorithms ignore possible correlations between the labels. Moreover, most of the current methods predict instance labels in a “flat” fashion without employing the ontol...
متن کاملInitializing neural networks for hierarchical multi-label text classification
Many tasks in the biomedical domain require the assignment of one or more predefined labels to input text, where the labels are a part of a hierarchical structure (such as a taxonomy). The conventional approach is to use a one-vs.-rest (OVR) classification setup, where a binary classifier is trained for each label in the taxonomy or ontology where all instances not belonging to the class are co...
متن کاملChained Path Evaluation for Hierarchical Multi-Label Classification
In this paper we propose a novel hierarchical multi-label classification approach for tree and directed acyclic graph (DAG) hierarchies. The method predicts a single path (from the root to a leaf node) for tree hierarchies, and multiple paths for DAG hierarchies, by combining the predictions of every node in each possible path. In contrast with previous approaches, we evaluate all the paths, tr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i05.6247