Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
Elzbieta Pekalska, Marina Skurichina, Robert P. W....
The evolution from a disease-centered model of care to a more patient-centered model presents opportunities for going beyond designing technology to support medical professionals ...
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
Computer science is seeing a decline in enrollment at all levels of education. One key strategy for reversing this decline is to improve methods of student retention. This paper, ...
Tanya L. Crenshaw, Erin W. Chambers, Heather Metca...
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...