The 6th International Conference on Machine Learning and Soft Computing (MLSC 2025) provides a platform for researchers and practitioners to share advancements in machine learning and soft computing, focusing on theory, methodology, and applications.
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
