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1)  learning drive
学习驱动
2)  learning concept of driving
学习动力驱动观
3)  study task-driven
学习任务驱动
4)  data-driven learning
数据驱动学习
1.
Tentative Study on the Equipment-Assisting Composition Pedagogy Model Based upon "Data-Driven Learning";
基于“数据驱动学习”的机辅写作教学模式初探
2.
With the guidance of the new teaching notion advocated by College English Curriculum Requirements,Data-Driven Learning(DDL) has become the tendency for college English learners\' efficient learning.
基于《大学英语课程教学要求》和新的教学理念,数据驱动学习模式(DDL)是提高大学生英语学习效率和自主学习能力的必然趋势。
5)  error-driven learning
错误驱动学习
1.
This paper proposes a new method for recognizing the extents of the time expressions based on dependency parsing and error-driven learning,which begins with time trigger word(namely,the syntactic head of dependency relation),uses Chinese dependency parsing to recognize the extents of the time expressions,Subsequently,we use the transformation-based error-driven lear.
首先以时间触发词为切入点,据依存关系递归地识别时间表达式,大大地提高了识别效果;然后,采用错误驱动学习来进一步增强识别效果,根据错误识别结果和人工标注的差异自动地获取和改进规则,使系统的性能又提高了近3。
2.
This paper proposes a chunking approach that combines support vector machine with error-driven learning.
给出了一种错误驱动学习机制与SVM相结合的汉语组块识别方法。
3.
This paper proposes a new method for recognizing the extents of the time expressions based on the dependency parsing and error-driven learning,which begins with time trigger word(namely,the syntactic head of dependency relation),uses Chinese dependency parsing to recognize the extents of the time expressions,and greatly improves the system performance;Subsequently,we .
首先以时间触发词为切入点,据依存关系递归地识别时间表达式,大大地提高了识别效果:然后,采用错误驱动学习来进一步增强识别效果,根据错误识别结果和人工标注的差异自动地获取和改进规则,使系统的性能又提高了近3。
6)  goal driven learning
目标驱动学习
1.
This paper describes a framework of idea generation based on case based learning and goal driven learning mechanisms, which integrates AI into GDSS.
本文提出基于案例学习和目标驱动学习的观点生成框架,将人工智能技术集成入群体决策支持系统中,通过动态问题分解过程、多案例经验学习过程、主动的目标驱动学习过程的协调运作,既支持初始观点生成,又支持观点的修改与扩充。
补充资料:部分学习与整体学习


部分学习与整体学习
part learning and whole learning

  部分学习与整体学习(part learningand whole learning)在运动学习和记忆学习中,根据对学习内容的处理方式可以分成部分学习和整体学习。部分学习就是将材料分成几个部分,每次学习一个部分:整体学习就是每次学习整个材料。一般来讲,整体学习的效果优于部分学习。但是,课题复杂彼此没有意义联系的材料,用部分学习的效果好:课题简短或具有意义联系的材料,用整体学习的效果好。在进行学习时,可以将部分学习与整体学习结合起来,先进行整体学习再进行部分学习,或者相反。这种相互结合的学习方式叫做综合学习,效果更好些。 (周国帕撰成立夫审)
  
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