PROGRESSIVE LEARNING - MULTI-LABEL CLASSIFIER

Research Aim

To develop an online multi-label classifier integrated with progressive learning technique (PLT). The resulting classifier should be capable of learning new labels while retaining the knowledge of previous labels for multi-label problems. 

Datasets

Yeast (Biology), Scene (Multimedia), Corel5k (Multimedia), Medical (Text)

Dataset specifications are given below:

Proposed Approach

The algorithm, code and datasets will be uploaded soon.

Results

The experimental results will be updated soon.