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New Approach for Joint Multilabel Classification with Community-Aware Label Graph Learning Technique
2018
International Journal of Computer Applications
Multi-label classification is a significant machine learning task in which one allocates a subset of candidate labels to an object. A new multi-label classification technique based on Conditional Bernoulli Mixtures. Exploiting label dependency for multi-label image classification cans considerably develop classification performance. Probabilistic Graphical Models are one of the primary methods for demonstrating such dependences. The structure of graphical models, however, is which ever resolute
doi:10.5120/ijca2018916892
fatcat:f2tyewknqzaopdzxolyzsqahqm