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» Using Random Forests in the Structured Language Model
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ICPR
2008
IEEE
14 years 3 months ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...
VL
2008
IEEE
115views Visual Languages» more  VL 2008»
14 years 3 months ago
Flexible visualization of automatic simulation based on structured graph transformation
Visual modeling languages for discrete behavior modeling allow the modeler to describe how systems develop over time during system runs. Models of these languages are the basis fo...
Enrico Biermann, Claudia Ermel, Jonas Hurrelmann, ...
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Predictive Model of Insolvency Risk for Australian Corporations
This paper describes the development of a predictive model for corporate insolvency risk in Australia. The model building methodology is empirical with out-ofsample future year te...
Rohan A. Baxter, Mark Gawler, Russell Ang
ICIP
2003
IEEE
14 years 1 months ago
Parameter estimation for spatial random trees using the EM algorithm
A new class of multiscale multidimensional stochastic processes called spatial random trees was recently introduced in [9]. The model is based on multiscale stochastic trees with ...
Ilya Pollak, Jeffrey Mark Siskind, Mary P. Harper,...
JUCS
2010
139views more  JUCS 2010»
13 years 3 months ago
Validating Modal Aspects of OntoUML Conceptual Models Using Automatically Generated Visual World Structures
: Assessing the quality of conceptual models is key to ensure that conceptual models can be used effectively as a basis for understanding, agreement and construction of information...
Alessander Botti Benevides, Giancarlo Guizzardi, B...