Name
Title | ||
|---|---|---|
Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance |
Abstract | ||
|---|---|---|
Multi-label classification is defined as the problem of identifying the multiple labels or categories of new observations based on labeled training data. Multi-labeled data has several challenges, including class imbalance, label correlation, incomplete multi-label matrices, and noisy and irrelevant features. In this article, we propose an integrated multi-label classification approach with incomplete label space and class imbalance (ML-CIB) for simultaneously training the multi-label classification model and addressing the aforementioned challenges. The model learns a new label matrix and captures new label correlations, because it is difficult to find a complete label vector for each instance in real-world data. We also propose a label regularization to handle the imbalanced multi-labeled issue in the new label, and l1 regularization norm is incorporated in the objective function to select the relevant sparse features. A multi-label feature selection (ML-CIB-FS) method is presented as a variant of the proposed ML-CIB to show the efficacy of the proposed method in selecting the relevant features. ML-CIB is formulated as a constrained objective function. We use the accelerated proximal gradient method to solve the proposed optimisation problem. Last, extensive experiments are conducted on 19 regular-scale and large-scale imbalanced multi-labeled datasets. The promising results show that our method significantly outperforms the state-of-the-art.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3342512 | ACM Transactions on Intelligent Systems and Technology (TIST) |
Keywords | Field | DocType |
Multi-label classification, class imbalance, label correlation, multi-label feature selection | Computer science,Multi-label classification,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
10 | 5 | 2157-6904 |
Citations | PageRank | References |
3 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Braytee | 1 | 11 | 5.25 |
| Wei Liu | 2 | 468 | 37.36 |
| Ali Anaissi | 3 | 31 | 4.29 |
| paul j kennedy | 4 | 25 | 4.74 |