Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...
Christopher Amato, Daniel S. Bernstein, Shlomo Zil...
Our previous work to accelerate phylogeny inference using HW/SW(Hardware/Software) co-design has recently been extended to a more powerful embedded computing platform. In this pla...
Embedded software is becoming more flexible and adaptable, which presents new challenges for management of highly constrained system resources. Software dynamic translation is a t...
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...