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» System modeling with mixed object and data models
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ICONIP
2009
15 years 4 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
AGI
2011
14 years 10 months ago
The Collection of Physical Knowledge and Its Application in Intelligent Systems
Intelligence is a multidimensional problem of which physical reasoning and physical knowledge are important dimensions. However, there are few resources of physical knowledge that ...
Benjamin Johnston

Lecture Notes
4961views
17 years 4 months ago
The Relational Data Model, Normalisation and effective Database Design
I have been designing and building applications, including the databases used by those applications, for several decades now. I have seen similar problems approached by different d...
Tony Marston
COMPCON
1994
IEEE
15 years 11 months ago
An Overview of the Spring System
Spring is a highly modular, distributed, object-oriented operating system. This paper describes the goals of the Spring system and provides overviews of the Spring object model, t...
James G. Mitchell, Jonathan Gibbons, Graham Hamilt...
WISE
2007
Springer
16 years 1 months ago
Modeling Distributed Events in Data-Intensive Rich Internet Applications
Abstract. Rich Internet applications (RIAs) enable novel usage scenarios by overcoming the traditional paradigms of Web interaction. Conventional Web applications can be seen as re...
Giovanni Toffetti Carughi, Sara Comai, Alessandro ...