摘要
本文综合运用信息管理、人工智能、认知科学等多学科的先进理论与技术 ,探讨了获取检索知识的机器学习方法———归纳学习、解释学习、联接学习和基于多Agent的多维学习 ,并提出了基于多维学习的知识检索模型。
Applying advanced theory and technique of information management, artificial intelligence, and cognitive science, this paper explores the machine learning methods about retrieval knowledge, which are inductive learning, explanation based learning, connectionist learning, and multi agent learning. Then it proposes knowledge retrieval models based on multi dimension learning.
出处
《图书情报知识》
CSSCI
北大核心
2002年第4期6-9,共4页
Documentation,Information & Knowledge
基金
国家社会科学基金资助项目 (0 1BTQ0 11)
关键词
知识检索
机器学习
检索模型
Knowledge retrieval Machine learning Retrieval model
