2023 International Conference on Machine Learning and Knowledge Engineering (ICMLKE 2023)
Call For Papers
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Topics include but are not limited to the following areas:

机器学习 Machine Learning:

大数据处理,

Big data

智能数据分析,

Intelligent Data Analysi

建模和识别,

Modeling and Recognition

图像检索,

Image Retrieval

多任务和迁移学习, 

Multitasking and Transfer Learning

无监督学习, 

Unsupervised Learning

图形和网络数据分析,

Graphics and Network Data Analysis

机器学习算法,

Machine learning Algorithms

深度学习,

Deep learning

人工智能,

Artificial Intelligence

智能搜索,

Intelligent Search

模式识别,

Pattern Recognition

信息系统安全,

Information System Security

计算机视觉,

Computer Vision

数据挖掘,

Data Mining

数据存取,

Data Access

数据加密,

Data Encryption

数据压缩,

Data Compression

贝叶斯网络,

Bayesian Networks

移动计算,

Mobile Computing

编程语言,

Programming Languages

无线传感器网络,

Wireless Sensor Network

多媒体网络,

Multimedia Network

神经网络,

Neural Network

核方法,

Kernel Methods

强化学习,

Reinforcement Learning

统计学习,

Statistical Learning

机器人控制,

Robot Control




知识工程 Knowledge Engineering:

智能软件,

Intelligent Software

智能系统,

Intelligent Systems

信息处理,

Information Processing

智能数据库,

Intelligence Database

数据集成,

Data Integration

感知系统,

Perception System


教育智能,

Educational Intelligence

知识型系统,

Knowledge Based Systems

语音识别,

Speech Recognition

自然语言中的知识工程,

The Natural Language of Knowledge Engineering

智能决策,

Intelligent Decision Making

智能控制,

Intelligent Control


人本系统,

Humanistic System

人机交互,

Human-Computer Interaction

算法,

Algorithms

程序编制,

Programming

人工神经网络,

Artificial Neural Networks

应用程序和搜索,

Applications and Search

物联网的知识工程,

Knowledge Engineering for the IOT