2016 15th IEEE International Conference On Machine Learning And Applications (ICMLA)

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

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.