机器学习与优化方法高级研讨班

As the core of artificial intelligence, machine learning has attracted much attention in the rapid development of artificial intelligence. This project aims to experts and scholars as speaker teachers of themachine learning and optimization of the workshop. The project is on the machine learning theory of interdisciplinary research basic theory, machine learning and optimization methods and the latest progress. The artificial intelligence optimization method, with two yuan layered pattern learning from front-end learning and data expression, data re-representation of the optimization model and algorithm of learning algorithms and back-end theme to carry out teaching and research system, from the expression data optimization method, computer vision, machine learning depth optimization method optimization method the theme of the system of teaching and academic lectures, help young scholars, students understand the theory of machine learning and optimization of cross domain and frontier issues, open up the direction optimization research of new theory and application, broaden academic horizons, strengthen academic exchanges between domestic and foreign scholars.

作为人工智能的核心，机器学习在人工智能的快速发展中备受瞩目。本项目拟邀请国内外机器学习与优化交叉领域具有深厚造诣的专家、学者担任讲习班的主讲教师，系统的讲解机器学习方面的基础理论、机器学习与优化方法的交叉研究的相关理论以及最新进展。围绕最优化的人工智能方法，以学习的二元分层模式从前端学习与数据再表达、数据再表达的优化模型与算法、后端学习的常用算法等主题开展系统教学研究内容，从数据表达的优化方法、计算机视觉的优化方法、深度机器学习的优化方法等主题开展系统教学以及学术前沿讲座，帮助青年学者、学生了解机器学习与优化交叉领域的相关理论以及前沿问题，开辟新的优化理论和应用研究方向，拓宽学术视野，加强国内外学者之间的学术交流。