The 2022 International Conference on Machine Learning and Knowledge Engineering (MLKE2022) will be held in Guilin, China on February 25-27, 2022. The conference will focus on the latest research results in the theory and application of machine learning and knowledge engineering, and provide an authoritative international exchange platform for researchers in related fields, so as to promote good academic exchanges among scholars in related fields. It also provides global partners to build business and research collaborations around the world.

Machine learning, as a multidisciplinary interdisciplinary subject, has become a common research hotspot in the field of artificial intelligence and pattern recognition. Its theories and methods have been widely used to solve complex problems in engineering applications and scientific fields. As a new subject of engineering technology, knowledge engineering has a broad prospect in the fields of communication, education and control system which are combined by electronic computer and modern communication technology.

The main topics of this conference include: artificial intelligence, big data analysis, deep learning, intelligent software, knowledge engineering in natural language, etc.

Call for paper:
Topics include but are not limited to the following areas:
Machine Learning:

Big data
intelligent data analysis
modeling and recognition
image retrieval
multitasking and transfer learning
unsupervised learning
graphics and network data analysis
machine learning algorithms
deep learning
artificial intelligence
intelligent search
data mining
data access
computer vision
pattern recognition
intelligent transportation
information system security
data compression
data encryption
mobile computing
programming languages
wireless sensor network
multimedia network
neural network
robot control
signal detection and estimation
Bioinformation Processing
Intelligent Systems
Statistical Learning
Kernel Methods
Complex Systems
Reinforcement Learning
Bayesian Networks
Other Related Topics

Knowledge Engineering:

Intelligent software
intelligent systems
information processing
intelligence database
automation
automatic control
the knowledge chain management
knowledge grid
information filtering and screening
the natural language of knowledge engineering
data integration
perception system
humanistic system 
human-computer interaction
algorithms
Knowledge Acquisition and Management 
Reasoning and Evolution
Applications and Search
Information Extraction 
Information Retrieval and Question Answering
Programming
Knowledge Verification
Knowledge Based Systems
Intelligent Decision Making
Intelligent Control 
Speech Recognition
Artificial Neural Networks 
Knowledge Engineering for the IOT
Educational Intelligence
Language Translation and Linguistics
Other Related Topics