In the SmartPush project professional editors add semantic metadata to information flow when the content is created. This metadata is used to filter the information flow to provide the end users with a personalized news service. Personalization and delivery process is modeled as software agents, to whom the user delegates the task of sifting through incoming information. The key components of t...

Training examples are not all equally informative. Active learning strategies leverage this observation in order to massively reduce the number of examples that need to be labeled. We leverage the same observation to build a generic strategy for parallelizing learning algorithms. This strategy is effective because the search for informative examples is highly parallelizable and because we show ...

Reconfigurable devices have potential for great flexibility/efficiency, but mapping algorithms onto these architectures is a long-standing challenge. This paper addresses this challenge for stripe based coarse-grained reconfigurable architectures (CGRAs) by drawing on insights from graph drawing. We adapt fast, iterative algorithms from hierarchical graph drawing to the problem of mapping to st...

Abstract In light of the proliferation of the World Wide Web (web), the future of large database management lies in addressing the problems of sifting through structured data sources (e.g., data warehouses) with the same tools that are used for sifting through unstructured sources (e.g., web). Doing so will enable faster and more specific decision making as well as facilitate reusable decision ...

Information is ubiquitous, and we are flooded with more than we can process. Somehow, we must rely less on visual processing, point-and-click navigation, and manual decision making and more on computer sifting and organization of information and automated negotiation and decision making. A resolution of these problems requires software with semantic understanding—a grand challenge of our time. ...