Data items are often associated with a location in which they are present or collected, and their relevance or in uence decays with their distance. Aggregate values over such data...
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
We propose a technique for compressing test vectors. The technique reduces test application time and tester memory requirements by utilizing part of the predecessor response in co...