2019 2nd International Conference on Machine Learning Technologies (ICMLT 2019) is going to take place at Jiangxi, China (Nanchang University)during June 21-23, 2019 which will offer an ideal platform for presentation, discussion, criticism, exchange of innovative ideas and current challenges in the field of machine learning technologies.

The main theme of the conference is to address and deliberate on the latest technical status and recent trends in the research and applications of machine learning technologies. The purpose of the conference is to provide an opportunity for the scientists, engineers, industrialists, scholars and other professionals from all over the world to interact and exchange their new ideas and research outcomes in related fields and develop possible chances for future collaboration. The conference is also aimed at motivating the next generation of researchers to promote their interests in machine learning technologies.

Machine Learning usually plays an important role in the transition from data storage to decision systems based on large databases of signals such as the obtained from sensor networks, internet services, or communication systems. These systems imply developing both computational solutions and novel models. Signals from real-world systems are usually complex such as speech, music, bio-medical, multimedia, among others. Thus, Signal Processing techniques are very useful for these type of systems to automate processing and analysis techniques to retrieve information from data storage. Topics will range from foundations for real-world systems, and processing, such as speech, language analysis, biomedicine, convergence and complexity analysis, machine learning, social networks, sparse representations, visual analytics, robust statistical methods.

Authors are invited to submit full papers describing original research work in areas including, but not limited to:

Adaptive systems

Business intelligence

Biometrics

Bioinformatics

Data and web mining

Intelligent agent

Financial engineering

Inductive learning

Geo-informatics

Pattern Recognition

Logistics

Intelligent control

Media computing

Neural net and support vector machine

Hybrid and nonlinear system

Fuzzy set theory, fuzzy control and system

Knowledge management

Information retrieval

Intelligent and knowledge based system

Rough and fuzzy rough set

Networking and information security

Evolutionary computation

Ensemble method

Information fusion

Visual information processing

Computational life science