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ICML
2001
IEEE
16 years 4 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ICML
2005
IEEE
16 years 4 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
VIS
2004
IEEE
106views Visualization» more  VIS 2004»
16 years 5 months ago
Linking Representation with Meaning
The purpose of visualization is not just to depict data, but to gain or present insight into the domain represented in data. However in visualization systems, this link between fe...
David Duke
APCCM
2009
15 years 5 months ago
Multi-Level Domain Modeling with M-Objects and M-Relationships
Using traditional semantic data modeling, multi-level modeling can be achieved by representing objects in different abstraction hierarchies, namely classification, aggregation and...
Bernd Neumayr, Katharina Grün, Michael Schref...
ICPR
2010
IEEE
15 years 2 months ago
Ranking Model for Facial Age Estimation
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
Peng Yang, Lin Zhong, Dimitris N. Metaxas