— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Will...
This paper is an empirical investigation into the effectiveness of linear scaling adaptation for case-based software project effort prediction. We compare two variants of a linea...
Colin Kirsopp, Emilia Mendes, Rahul Premraj, Marti...
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Due to the expensiveness of compiling and executing a large number of mutants, it is usually necessary to select a subset of mutants to substitute the whole set of generated mutan...
Lu Zhang, Shan-Shan Hou, Jun-Jue Hu, Tao Xie, Hong...