MLSC 2020 : International Conference on Machine Learning and Soft Computing

Topics of interest include, but are not limited to, the following:

Machine Learning

• Analogical learning methods
• Automated knowledge acquisition
• Case based methods
• Clustering
• Connectionist networks
• Ensemble methods
• Evolution based methods
• Explanation based learning
• Hybrid learning algorithms
• Inductive logic programming
• Learning decision
• Learning from instruction
• Learning in integrated architectures
• Machine learning and information retrieval
• Machine learning and natural language processing
• Machine learning Applications
• Multi strategy, Multi agent learning
• Probabilistic networks
• Regression trees
• Reinforcement learning
• Statistical models
• Visualization of patterns in data

Soft Computing

• Data Mining & Information Retrieval
• Data mining for Social Network Data
• Expert Systems
• Fuzzy, Stochastic and Probabilistic computing
• Intelligent Software Agent Systems and Architectures
• Intelligent Systems
• Morphic Computing
• Multi objective optimization
• Neural computing
• Pattern recognition
• Perception Based Intelligent Decision Systems
• Soft Computing and Agents
• Soft Computing and Pattern Recognition
• Soft Computing Applications
• Soft Computing for Big Data
• Soft Computing Fundamental and Optimization
• Soft Computing in Bio-mimetic Pattern Recognition
• Soft Computing in Computer Graphics, Animation
• Soft Computing Modeling for Perception and Intelligence
• Advanced Soft Computing and Multi-Objective Evolutionary Computing