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JMLR
2010
134views more  JMLR 2010»
13 years 2 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
NGC
2000
Springer
101views Communications» more  NGC 2000»
13 years 7 months ago
Information Access in Multimedia Databases Based on Feature Models
With the increasing popularity of the WWW, the main challenge in computer science has become content-based retrieval of multimedia objects. Access to multimedia objects in database...
Arjen P. de Vries, Menzo Windhouwer, Peter M. G. A...
JUCS
2008
127views more  JUCS 2008»
13 years 8 months ago
A Spiral Model for Adding Automatic, Adaptive Authoring to Adaptive Hypermedia
: At present a large amount of research exists into the design and implementation of adaptive systems. However, not many target the complex task of authoring in such systems, or th...
Maurice Hendrix, Alexandra I. Cristea
JUCS
2008
196views more  JUCS 2008»
13 years 8 months ago
Information Integration for the Masses
Abstract: Information integration applications combine data from heterogeneous sources to assist the user in solving repetitive data-intensive tasks. Currently, such applications r...
Jim Blythe, Dipsy Kapoor, Craig A. Knoblock, Krist...
WSC
1998
13 years 9 months ago
Informational Macrodynamics: System Modelling and Simulation Methodologies
Informational Macrodynamics (IMD) presents a unified informational systemic approach with common information language for modeling, analysis and optimization of a variety of inter...
Vladimir S. Lerner