In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
The difficulty inherent in schema matching has led to the development of several generic match algorithms. This paper describes how we adapted general approaches to the specific t...
We present Apatite, a new tool that aids users in learning and understanding a complex API by visualizing the common associations between its various components. Current object-or...
Daniel S. Eisenberg, Jeffrey Stylos, Brad A. Myers
In this paper, we propose a new network growth model and its learning algorithm to more precisely model such a real-world growing network as the Web. Unlike the conventional model...
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...