The 3rd Asia Conference on Machine Learning, Algorithms and Neural Networks (MLANN 2025) explores advancements in machine learning, algorithms, and neural networks, focusing on innovative methods, optimization techniques, and their applications in intelligent systems and computational science.
Topics
- Algorithms
- Ant colony algorithm
- Analysis of algorithms
- Combinatorial search
- Approximation algorithm
- Computability theory
- Competitive analysis
- Embarrassingly parallel problem
- Computational complexity theory
- Evolutionary algorithm
- Emergent algorithm
- Graph exploration algorithm
- Genetic algorithm
- Monte Carlo algorithm
- Las Vegas algorithm
- Quantum algorithm
- Polynomial time approximation scheme
- Sorting algorithm
- Randomized algorithm
- Super-recursive algorithm
- Search algorithm
- Tree search algorithm
- Machine Learning
- Machine Learning for Network Slicing Optimization
- Deep and Reinforcement Learning
- Machine Learning for User Behavior Prediction
- Machine Learning for 5G system
- Optimization of Machine Learning Methods
- New Innovative Machine Learning Methods
- Experimental evaluations of machine learning
- Performance Analysis of Machine Learning Algorithms
- Machine learning for Internet of Things
- Machine learning for multimedia
- Distributed and decentralized machine learning algorithms
- Machine learning for security and protection
- Intelligent ressource allocation
- Intelligent cloud-support communications
- Intelligent software defined networks
- Intelligent energy-aware/green communications
- Intelligent positioning and navigation systems
- Intelligent cooperative networks
- Intelligent wireless sensor networks
- Intelligent wireless communications
- Intelligent underwater sensor networks
- Neural Networks
- Deep learning
- Computational Science and Engineering
- Information extraction
- Signal processing
- Pattern recognition
- Natural language reasoning
- Machine translation
- Image processing and Computer vision
- Domain adaptation
- Active learning
- Professional system
- Sequence to sequence learning
- Robot control
- Study on one`s own
- Knowledge engineering
- Combinatorial optimization
- Programming in logic
- Artificial intelligence
- Optimal combination
- Human-computer interaction
- Logic programming
