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ECML
2006
Springer
15 years 7 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
ICPR
2008
IEEE
16 years 5 months ago
Uncertainty minimization in multi-sensor localization systems using model selection theory
Belief propagation methods are the state-of-the-art with multi-sensor state localization problems. However, when localization applications have to deal with multi-modality sensors...
Andreas Koschan, David L. Page, Hamparsum Bozdogan...
ICRA
2003
IEEE
154views Robotics» more  ICRA 2003»
15 years 9 months ago
Scalability and schedulability in large, coordinated, distributed robot systems
— Multiple, independent robot platforms promise significant advantage with respect to robustness and flexibility. However, coordination between otherwise independent robots req...
John Sweeney, Huan Li, Roderic A. Grupen, Krithi R...
COOPIS
2002
IEEE
15 years 8 months ago
Discovering Emergent Virtual Work Processes in Collaborative Systems
The design of virtual workplaces that can support virtual work processes has traditionally been either ad-hoc, or has been influenced by the top-down approaches, such as ‘virtua...
Simeon J. Simoff, Robert P. Biuk-Aghai
BMCBI
2007
165views more  BMCBI 2007»
15 years 3 months ago
Automatic reconstruction of a bacterial regulatory network using Natural Language Processing
Background: Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implement...
Carlos Rodríguez Penagos, Heladia Salgado, ...