2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)

TOPICS OF INTEREST

1. Statistical Learning
2. Neural Network Learning
3. Learning Through Fuzzy Logic
4. Learning Through Evolution
5. Reinforcement Learning
6. Multi-strategy Learning
7. Cooperative Learning
8. Planning and Learning
9. Multi-agent Learning
10. Online and Incremental Learning
11. Scalability of Learning Algorithms
12. Inductive Learning
13. Inductive Logic Programming
14. Bayesian Networks
15. Support Vector Machines
16. Case-based Reasoning
17. Grammatical Inference
18. Knowledge Acquisition and Learning
19. Knowledge Discovery in Databases
20. Knowledge Intensive Learning
21. Knowledge Representation and Reasoning
22. Machine Learning for Information Retrieval
23. Learning Through Mobile Data Mining
24. Machine Learning for Web Navigation and Mining
25. Text and Multimedia Mining
26. Feature Extraction and Classification
27. Distributed and Parallel Learning Algorithms and Applications
28. Computational Learning Theory
29. Theories and Models for Plausible Reasoning
30. Computational Learning Theory
31. Cognitive Modeling
32. Hybrid Learning Algorithms
33. Multi-lingual knowledge acquisition and representation
34. Applications of Machine learning in:

• Medicine and health informatics
• Bioinformatics and systems biology
• Industrial and engineering applications
• Security
• Smart cities
• Game playing and problem solving
• Intelligent virtual environments
• Economics, business and forecasting