In this paper, we introduce a novel objective function for the hierarchical clustering of data from distance matrices, a very relevant task in Bioinformatics. To test the robustnes...
Pritha Mahata, Wagner Costa, Carlos Cotta, Pablo M...
We present a system that gathers and analyzes online discussion as it relates to consumer products. Weblogs and online message boards provide forums that record the voice of the p...
Natalie S. Glance, Matthew Hurst, Kamal Nigam, Mat...
Class membership probability estimates are important for many applications of data mining in which classification outputs are combined with other sources of information for decisi...
In this study we construct an artificial neural network model of players’ relaxation preferences while playing a physical Wii game. Developed technology will assist game designe...
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...