— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
In software development, many kinds of knowledge are shared and reused as software patterns. Howevel; the relation analysis among software by hand is on the large scale. In this w...
Abstract. An adaptable statistical or hybrid MT system relies heavily on the quality of word-level alignments of real-world data. Statistical alignment approaches provide a reasona...
We discuss the challenges in developing decision support tools for commercial underwriting and describe how several different approaches to the underwriting problem have been addr...