Track 1 Details:

• General Machine Learning, Active Machine Learning
• Fuzzy Learning
• Kernel Based Learning
• Genetic Learning
• Bayesian Estimation Approaches
• Recurrent Neural Networks
• Machine Learning over the Cloud
• Learning Paradigms
• Clustering, Classification and Regression Methods
• Supervised, Semi-Supervised and Unsupervised Learning
• Dimensionality reduction
• Reinforcement Learning
• Optimization Methods
• Video and Audio Generation and Analytics with Deep Learning
• Recurrent Neural Networks and its Applications
• Recommender Systems
• Bioinformatics and Biomedical Informatics
• Healthcare and Clinical Decision Support
• Information Retrieval
• Natural Language Processing
• Statistical Learning Theory