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Machine Solving on Hypergeometric Distribution Problems

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成果类型:
期刊论文、会议论文
作者:
Sun, Chao;Su, Yao;Yu, Xinguo*余新国
通讯作者:
Yu, Xinguo(余新国
作者机构:
[Yu, Xinguo; Su, Yao; Sun, Chao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
通讯机构:
[Yu, Xinguo] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
语种:
英文
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2018
卷:
10799
页码:
102-115
会议论文集名称:
Lecture Notes in Computer Science
会议地点:
Wuhan, PEOPLES R CHINA
会议主办单位:
[Sun, Chao;Su, Yao;Yu, Xinguo] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.
会议赞助商:
Cent China Normal Univ & Wollongong Univ Joint Inst, Natl Engn Res Ctr E Learning, Wuhan Jingtian Elect Co Ltd, Int Asso Pattern Recognit
主编:
Satoh, S
出版地:
GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
出版者:
Springer, Cham
ISBN:
978-3-319-92752-7
基金类别:
Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [20205170442]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Hypergeometric distribution is one of the most important mathematical models in probabilistic subjects, and also an integral part of the intelligent tutoring system based on automatic machine solving. In this paper, we propose a set of solutions to automatically solve the Hypergeometric distribution problems. Our method combines the syntactic and semantic information of the subject, establishes the matching rule between the topic narration and the type template, and implement the problem solving by establishing the solution formula corresponding to the topic, as well as extracting and compleme...

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