Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
Abstract. This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recogniti...
Abstract. Association rule mining is one of the most popular data mining techniques. Significant work has been done to extend the basic association rule framework to allow for mini...
Abstract. Mobile entity navigation in dynamic environments is an essential part of many mission critical applications like search and rescue and fire fighting. The dynamism of the ...
Abstract. We have developed a new on-line error modeling and optimizationbased localization approach for sensor networks in the presence of distance measurement noise. The approach...