Often the most expensive and time-consuming task in building a pattern recognition system is col lecting and accurately labeling training and testing data. In this paper, we exp...
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
In this paper 1 we present a new parsing algorithm for linear indexed grammars (LIGs) in the same spirit as the one described in (Vijay-Shanker and Weir, 1993) for tree adjoining ...
This paper presents an implemented, psychologicallyplausible parsing model for Government Binding theory grammars. I make use of two main ideas: (1) a generalization of the licens...