This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
Designing component-based application that meets performance requirements remains a challenging problem, and usually requires a prototype to be constructed to benchmark performanc...
The paper proposes two automatic voltage controllers for the South Korean power system. Simulation results from detailed Korean power-flow models show that the controllers can pro...
High level synthesis tools transform an algorithmic description to a register transfer language (RTL) description of the hardware. The algorithm behavior is typically described in...