2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)

The technical program will consist of, but is not limited to, the following topics of interest:

• statistical learning
• neural network learning
• learning through fuzzy logic
• learning through evolution (evolutionary algorithms)
• reinforcement learning
• multi-strategy learning
• cooperative learning
• planning and learning
• multi-agent learning
• online and incremental learning
• scalability of learning algorithms
• inductive learning
• inductive logic programming
• Bayesian networks
• support vector machines
• case-based reasoning
• machine learning for bioinformatics and computational biology
• multi-lingual knowledge acquisition and representation
• grammatical inference
• knowledge acquisition and learning
• knowledge discovery in databases
• knowledge intensive learning
• knowledge representation and reasoning
• machine learning and information retrieval
• machine learning for web navigation and mining
• learning through mobile data mining
• text and multimedia mining through machine learning
• distributed and parallel learning algorithms and applications
• feature extraction and classification
• theories and models for plausible reasoning
• computational learning theory
• cognitive modeling
• hybrid learning algorithms

Applications of machine learning in:

• medicine, health, bioinformatics and systems biology
• industrial and engineering applications
• security applications
• smart cities
• game playing and problem solving
• intelligent virtual environments
• economics, business and forecasting applications, etc.