Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Different advances have been made in the development of software process improvement (SPI) standards and models, e.g. capability maturity model (CMM), more recently CMMI, and ISO...
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
Abstract. Research works and surveys focusing on e-Government Digital Services availability and usage, reveal that often services are available but ignored by citizens. In our hypo...
Flavio Corradini, Damiano Falcioni, Andrea Polini,...