Implementing first-class continuations can pose a challenge if the target machine makes no provisions for accessing and re-installing the run-time stack. In this paper, we present...
Greg Pettyjohn, John Clements, Joe Marshall, Shrir...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
One of the most promising approaches to Java acceleration in embedded systems is a bytecode-to-C ahead-of-time compiler (AOTC). It improves the performance of a Java virtual machi...
Dong-Heon Jung, Jong Kuk Park, Sung-Hwan Bae, Jaem...
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...