: Today's online model repositories offer to download and view the textual specifications of e.g. metamodels and models in the browser. For users, in order to efficiently sear...
Manuel Wimmer, Andrea Schauerhuber, Michael Stromm...
We describe a discriminatively trained sequence alignment model based on the averaged perceptron. In common with other approaches to sequence modeling using perceptrons, and in co...
We present a method for improving word alignment for statistical syntax-based machine translation that employs a syntactically informed alignment model closer to the translation m...
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
In this work we propose a comparative study of the effects of a continuous model update on the effectiveness of wellknown query recommendation algorithms. In their original formul...
Daniele Broccolo, Franco Maria Nardini, Raffaele P...
Abstract. The complexity of distributed algorithms, such as state machine replication, motivates the use of formal methods to assist correctness verification. The design of the for...
This paper proposes a method for automatic POS (part-of-speech) guessing of Chinese unknown words. It contains two models. The first model uses a machinelearning method to predict...
We illustrate the basic constituents of a model and demonstrate how the facilities of Task Modeler, such as the visualization options, enable the rapid creation, analysis, and com...
This paper addresses the problem of performance analysis based on communication modelling of largescale heterogeneous distributed systems with emphases on enterprise grid computin...
Bahman Javadi, Jemal H. Abawajy, Mohammad K. Akbar...
A semantically driven Virtual Organisation (VO) model for predicting important events for coral reefs is presented – the Semantic Reef. The model is an application of a Semantic...
Trina S. Myers, Ian M. Atkinson, William J. Lavery