For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
—We study the problem of landmark selection for landmark-based routing in a network of fixed wireless communication nodes. We present a distributed landmark selection algorithm ...
An Nguyen, Nikola Milosavljevic, Qing Fang, Jie Ga...
We present the “Dynamic Packing Grid” (DPG) data structure along with details of our implementation and performance results, for maintaining and manipulating flexible molecul...
Chandrajit L. Bajaj, Rezaul Alam Chowdhury, Muhibu...
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...