Abstract. We explore the information processing capabilities and efciency of DNA computations by giving two di erent types of implementations of nite-state machines. A ligation-bas...
Max H. Garzon, Y. Gao, John A. Rose, R. C. Murphy,...
This paper presents an approach to establish and support learning communities. Based on task context information (which is extracted from multiple sources) and relying on the docum...
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
Support vector machines and kernel methods have recently gained considerable attention in chemoinformatics. They offer generally good performance for problems of supervised classi...