Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
The aim of this paper is to provide tool developers with effective strategies to minimize the risks, costs, effort and time involved in handling model interchange issues. Specific...
Guy Saint-Denis, Reinhard Schauer, Rudolf K. Kelle...
— This paper describes and evaluates a probabilistic packet scheduling (PPS) algorithm for providing different levels of service to TCP flows. With our approach, each router de...
Ming Zhang, Randolph Y. Wang, Larry L. Peterson, A...
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...