Topics of Submission
				We welcome submissions on all facets of machine learning and cybernetics. Topics include, but not limited to the following:
				
					- Adaptive systems
 
					- Agent based technologies
 
					- Applications
 
					- Audio and speech information processing
 
					- Automation, robotics and mechatronics
 
					- Bayesian learning and graphical models
 
					- Big Data
 
					- Bioinformatics
 
					- Business intelligence
 
					- Cloud Computing
 
					- Clustering
 
					- Data mining
 
					- Data, sensor, and information fusion
 
					- Decision models and decision support systems
 
					- Distributed information retrieval
 
					- Evolutionary computation 
 
					- Feature selection and feature grouping
 
					- Formal concept lattices
 
					- Fuzzy control and systems
 
					- Fuzzy rough sets, variable precision rough sets
 
					- Fuzzy set theory, fuzzy reasoning, and fuzzy logic
 
					- Game theory models and analysis
 
					- Geoinformatics
 
					- Human-centric systems
 
					- Human-media interactivity
 
					- Hybrid and nonlinear systems
 
					- Intelligent agents
 
					- Intelligent and knowledge-based systems
 
					- Intelligent control
 
					- Intelligent media systems
 
					- Intelligent Network 
 
					- Intelligent Robot
 
					- Intranet, enterprise search
 
					- Kernel methods and support vector machines
 
					- Knowledge Discovery
 
					- Machine learning in digital entertainment
 
					- Manifold learning and dimensionality reduction
 
					- Man-machine interactions 
 
					- Media content delivery and adaptation
 
					- Modeling and simulation
 
					- Models of Generalization Error
 
					- Multimedia information retrieval, content-based image, audio, video retrieval
 
					- Multiple classifier systems, classifier combination, and ensemble methods
 
					- Networking and Information security
 
					- Neural networks
 
					- Ontology and semantic web search
 
					- Relevance feedback and reinforcement learning
 
					- Rough sets, rough reasoning, rough algebra, and rough topology
 
					- Rule extraction
 
					- Sample selection and active learning
 
					- Statistical classifiers
 
					- Structural and syntactic pattern recognition
 
					- Symbolic and inductive learning
 
					- Tensor methods and high-order data representation
 
					- Text mining, text information extraction and retrieval
 
					- Web based search engine