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KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 7 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
166
Voted
COMPSAC
2008
IEEE
16 years 1 months ago
Utilising Located Functions to Model and Optimise Distributed Computations
With developments in Grid computing and Web based data storage the task of orchestrating computations is becoming ever more difficult. Identifying which of the available computati...
Stephen Crouch, Peter Henderson, Robert John Walte...
GD
2005
Springer
16 years 9 days ago
A Hybrid Model for Drawing Dynamic and Evolving Graphs
Dynamic processes frequently occur in many applications. Visualizations of dynamically evolving data, for example as part of the data analysis, are typically restricted to a cumula...
Marco Gaertler, Dorothea Wagner
ER
2004
Springer
103views Database» more  ER 2004»
16 years 5 days ago
Modeling Default Induction with Conceptual Structures
Our goal is to model the way people induce knowledge from rare and sparse data. This paper describes a theoretical framework for inducing knowledge from these incomplete data descr...
Julien Velcin, Jean-Gabriel Ganascia
SYNTHESE
2008
84views more  SYNTHESE 2008»
15 years 6 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...