Abstract. The paper argues that a promising way to improve the success rate of preference-based anaphora resolution algorithms is the use of machine learning. The paper outlines MA...
A new approach to the induction of multivariate decision trees is proposed. A linear decision function (hyper-plane) is used at each non-terminal node of a binary tree for splittin...
Computing equivalence classes for FSMs has several applications to synthesis and verication problems. Symbolic traversal techniques are applicable to medium-small circuits. This ...
We apply sensitivity analysis to the design and control of a tendon transmission. With this approach, some prefered values for the system parameters and a feedback compensator can...
This paper describesFido, a predictive cache [Palmer 19901that prefetchesby employing an associativememoryto recognizeaccesspatterns within a context over time. Repeatedtraining a...