8th International Conference on Machine Learning and Soft Computing (MLSC 2027)

The 8th International Conference on Machine Learning and Soft Computing (MLSC 2027) provides a platform for researchers and practitioners to share advancements in machine learning and soft computing, focusing on theory, methodology, and applications.

Key Topics

• Soft Computing
  • Data mining for Social Network Data
  • Data Mining & Information Retrieval
  • Fuzzy, Stochastic and Probabilistic computing
  • Expert Systems
  • Intelligent Systems
  • Intelligent Software Agent Systems and Architectures
  • Multi objective optimization
  • Morphic Computing
  • Pattern recognition
  • Neural computing
  • Soft Computing and Agents
  • Perception Based Intelligent Decision Systems
  • Soft Computing Applications
  • Soft Computing and Pattern Recognition
  • Soft Computing Fundamental and Optimization
  • Soft Computing for Big Data
  • Soft Computing in Computer Graphics, Animation
  • Soft Computing in Bio-mimetic Pattern Recognition
  • Advanced Soft Computing and Multi-Objective Evolutionary Computing
  • Soft Computing Modeling for Perception and Intelligence
• Machine Learning
  • Automated knowledge acquisition
  • Analogical learning methods
  • Clustering
  • Case based methods
  • Ensemble methods
  • Connectionist networks
  • Explanation based learning
  • Evolution based methods
  • Inductive logic programming
  • Hybrid learning algorithms
  • Learning from instruction
  • Learning decision
  • Machine learning and information retrieval
  • Learning in integrated architectures
  • Machine learning Applications
  • Machine learning and natural language processing
  • Probabilistic networks
  • Multi strategy, Multi agent learning
  • Reinforcement learning
  • Regression trees
  • Visualization of patterns in data
  • Statistical models