While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
The activity of babies and more specifically the posture of babies is an important aspect in their safety and development. In this paper, we studied the automatic classification o...
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tian...
Research in bioinformatics and computational biology relies heavily on algorithms that facilitate the understanding of biological processes through the application of statistical ...