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» A Literature Overview of Fuzzy Conceptual Data Modeling
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ESANN
2004
13 years 9 months ago
Neural methods for non-standard data
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
Barbara Hammer, Brijnesh J. Jain
ESANN
2007
13 years 9 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
OTM
2005
Springer
14 years 1 months ago
Spatio-temporal Schema Integration with Validation: A Practical Approach
We propose to enhance a schema integration process with a validation phase employing logic-based data models. In our methodology, we validate the source schemas against the data mo...
Anastasiya Sotnykova, Nadine Cullot, Christelle Va...
PERCOM
2007
ACM
14 years 7 months ago
The Role of Probabilistic Schemes in Multisensor Context-Awareness
This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical...
Waltenegus Dargie
INFORMATICALT
2006
75views more  INFORMATICALT 2006»
13 years 7 months ago
Repository for Business Rules Based IS Requirements
The quality of software engineering projects often suffers due to the large gap between the way stakeholders present their requirements and the way analysts capture and express tho...
Kestutis Kapocius, Rimantas Butleris