Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
This paper describe the case study of developing and providing the ontology-based educational information search service to overcome the limitations of the existing keyword-based ...
Byoungchol Chang, Dall-ho Ham, Daesung Moon, Yong ...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
We present initial work on perturbation techniques that cause the manifestation of timing-related bugs in distributed memory Message Passing Interface (MPI)-based applications. Th...
Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan...