PROGRESSIVE LEARNING - MULTI-CLASS CLASSIFIER
Research Aim
To develop human-learning-inspired progressive learning technique (PLT) and incorporate it for multi-class classification problems. The progressive learning technique is the next logical step in the sequence of batch and online learning. This technique is suitable for real-world applications where the number of classes is often unknown and online learning from real-time data is required. The consistency, complexity, performance and speed of the PLT are evaluated and analyzed.
Datasets
Iris, Balance-scale, Waveform, Wine, Satellite image, Digit, Character dataset 1, Character dataset 2, Character dataset 3
Dataset specifications are given below:
Algorithm
Code
The source code for progressive learning technique for multi-class classification is available in github (rajasekar-venkatesan/progressive-multiclass)
Results
