The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
We present a method for automatic extraction of frames from .a dependency graph. Our method uses machine learning applied to a dependency tree to assign frames and assign frame ele...
We address the problem of advice-taking in a given domain, in particular for building a game-playing program. Our approach to solving it strives for the application of machine lea...
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Abstract. Software agents are a promising technology for today's complex, distributed systems. Methodologies and techniques that address testing and reliability of multi agent...