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解释和个别预测的可靠性:利用LKM最近的研究

Explanation and Reliability of Individual predictions: Recent Research by LKM
课程网址: http://videolectures.net/is2012_pevec_individual_predictions/  
主讲教师: Darko Pevec
开课单位: 卢布尔雅那大学
开课时间: 2012-11-16
课程语种: 英语
中文简介:
我们回顾最近的一些研究课题的认知建模实验室(LKM)在卢布尔雅那大学计算机与信息科学学院,斯洛文尼亚。分类和回归模型,用机器学习算法的数据是自动生成的或手动编码与领域专家的帮助,每天都是用来预测的新情况下,每一个人的预测,以深受用户信赖,应该伴随着一个解释的预测以及由它的可靠性估计。在LKM我们最近解释个人的预测以及可靠性评估的开发了一个通用的方法。同时,解释和可靠性估计的一般技术,独立的底层模型和提供在线(有效的)支持预测模型的用户。
课程简介: We review some recent research topics by Laboratory for Cognitive Modeling (LKM) at Faculty of Computer and Information Science, University of Ljubljana, Slovenia. Classification and regression models, either automatically generated from data by machine learning algorithms, or manually encoded with the help of domain experts, are daily used to predict the labels of new instances. Each such individual prediction, in order to be accepted/trusted by users, should be accompanied by an explanation of the prediction as well as by an estimate of its reliability. In LKM we have recently developed a general methodology for explaining individual predictions as well as for estimating their reliability. Both, explanation and reliability estimation are general techniques, independent of the underlying model and provide on-line (effective and efficient) support to the users of prediction models.
关 键 词: 预测模型; 建模; 斯洛文尼亚
课程来源: 视频讲座网
最后编审: 2021-02-10:nkq
阅读次数: 65