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...
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
This poster session examines a probabilistic approach to distributed information retrieval using a Logistic Regression algorithm for estimation of collection relevance. The algori...
In this article, we propose to use the Discrete EVent system Specification (DEVS) formalism to describe and execute graph transformation control structures. We provide a short rev...
This paper proposes autonomic or organic computing principles to be applied to hardware design methods for future SoC solutions. Incorporating self-calibration, fault tolerance or...
Gabriel Mihai Lipsa, Andreas Herkersdorf, Wolfgang...