: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
o address the need for canonical abstraction, we've adopted software engineering's concept of signatures--a technique for defining software patterns or invariant procedur...
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Several current support systems for travel and tourism are aimed at providing information in a personalized manner, taking users' interests and preferences into account. In t...