机器智能研究

宽基线条件下的目标追踪技术是计算机视觉、机器智能等研究领域有待解决的问题之一，是实际应用过程中需要突破的瓶颈。

Object tracking against wide baseline is one of issues in the fields of computer vision and machine intelligence , and the bottleneck in many related applications .

机器学习是人工智能研究的中心问题。

Machine learning is a main problem in the study of Artificial intelligence .

机器智能与模式识别研究中的统计学习方法

Statistical learning in machine intelligence and pattern recognition

机器博弈是人工智能研究领域的一大热点，博弈树搜索则是机器博弈的引擎。

This paper gives profound research is game-tree search algorithm and game-tree optimization technique .

简要介绍了学习算法的发展状况；讨论了机器智能与模式识别研究中的统计学习方法和图模型的一般理论；

In this paper , the general theory of statistical learning methods and graphical model in machine intelligence and pattern recognition are discussed .

经过几十年发展，强化学习已得到长足的进步，已成为机器学习、人工智能研究中最活跃的领域之一。

Reinforcement Learning has obtained significant progress during the past several-decade development and become one of the most active areas in Machine Learning and Artificial Intelligence .

机器翻译是人工智能研究中的一个前沿领域，它涉及到语言学、数学、哲学、心理学、计算机科学、自动控制技术等多个学科的知识。

As a foreland in the field of artificial intelligence study , machine translation concerns multiple subjects , such as linguistics , mathematics , philosophy , psychology , computer science , and cybernation technology .