The metamodel techniques and model transformation techniques provide a standard way to represent and transform data, especially the software artifacts in software development. How...
Abstract. Introducing process orientation to overcome the functionaloriented organizational structure was the main concern within enterprises during the last decade to improve proc...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
The geographical threshold graph model is a random graph model with nodes distributed in a Euclidean space and edges assigned through a function of distance and node weights. We st...