Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
In many practical applications, one is interested in generating a ranked list of items using information mined from continuous streams of data. For example, in the context of comp...
— In order to assist surgeons during surgery on moving organs, e.g. minimally invasive beating heart bypass surgery, a master-slave system which synchronizes surgical instruments...
Thomas Bader, Alexander Wiedemann, Kathrin Roberts...