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» Business Process Knowledge Modelling: Method and Tool
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ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
HICSS
2003
IEEE
201views Biometrics» more  HICSS 2003»
15 years 9 months ago
Design and Evaluation of Improvement method on the Web Information Navigation - A Stochastic Search Approach
With the advent of fast growing Internet and World Wide Web (WWW), more and more companies start the electronic commerce to enhance the business competitiveness. On the other hand...
Benjamin P.-C. Yen, Y.-W. Wan
BCB
2010
140views Bioinformatics» more  BCB 2010»
14 years 11 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
ICPR
2010
IEEE
15 years 1 months ago
Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles
Abstract--In this paper we introduce a probabilistic approach of building extraction in remotely sensed images. To cope with data heterogeneity we construct a flexible hierarchical...
Csaba Benedek, Xavier Descombes, Josiane Zerubia
SAC
2010
ACM
15 years 4 months ago
Data-aware design and verification of service compositions with Reo and mCRL2
Service-based systems can be modeled as stand-alone services coordinated by external connectors. Reo is a channelbased coordination language with well-defined semantics that enabl...
Natallia Kokash, Christian Krause, Erik P. de Vink