We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Search computing is a novel discipline whose goal is to answer complex, multi-domain queries. Such queries typically require combining in their results domain knowledge extracted ...
Atomicity is a desirable property for business processes to conduct transactions in Business-to-Business (B2B) collaboration. Although it is possible to reason about atomicity of ...
Form mapping is the key problem that needs to be solved in order to get access to the hidden web. Currently available solutions for fully automatic mapping are not ready for comme...