Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
In this paper we describe our experiments for the high level features extraction task of TRECVid 2007. Our approach is different than previous submissions in that we have impleme...
Resource discovery is a problem common to almost all distributed systems. Instead of resulting in a one or a small number of discovery mechanisms, completely different and incompa...
System level modeling with executable languages such as C/C++ has been crucial in the development of large electronic systems from general processors to application specific desig...
Xi Chen, Yan Luo, Harry Hsieh, Laxmi N. Bhuyan, Fe...
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...