Explanation and Reliability of Individual predictions: Recent Research by LKM
published: Nov. 16, 2012, recorded: October 2012, views: 2972
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !