Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to:

Cognitive information learning
Deep learning techniques
Dictionary learning
Graphical and kernel methods
Matrix factorization/completion
Independent component analysis
Information-theoretic learning
Learning theory and algorithms
Learning form multimodal data
ML over wireless networks
Applications in music and audio
Pattern recognition and classification
Subspace and manifold learning
Sequential learning
Distributed/Federated learning
Reinforcement learning
Transfer learning
Self/semi-supervised learning