Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
Several validity indices have been designed to evaluate solutions obtained by clustering algorithms. Traditional indices are generally designed to evaluate center-based clustering...
Noha A. Yousri, Mohamed S. Kamel, Mohamed A. Ismai...
— We present BARAKA, a new simulator for SANETs. The evaluation of algorithms developed for communication and co-operation in this context is usually accomplished separately. On ...
Thomas Halva Labella, Isabel Dietrich, Falko Dress...
Abstract. This paper is a documentation of the acoustic person tracking system developed by TUT. The system performance was evaluated in the CLEAR 2007 evaluation. The proposed sys...