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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 8 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
CVPR
2007
IEEE
16 years 6 months ago
Regularized Mixed Dimensionality and Density Learning in Computer Vision
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
Gloria Haro, Gregory Randall, Guillermo Sapiro
ICDE
2005
IEEE
165views Database» more  ICDE 2005»
16 years 5 months ago
Querying and Visualizing Gridded Datasets for e-Science
We demonstrate a web service and client application for querying and visualizing datasets defined over arbitrary topological grids. Such gridded datasets are produced by Earth sci...
Bill Howe, David Maier
SEKE
2004
Springer
15 years 9 months ago
Predicting UML Statechart Diagrams Understandability Using Fuzzy Logic-Based Techniques
In this work, we present an application of the Fuzzy Logic in the field of prediction in Software Engineering. We specifically use the Fuzzy Prototypical Knowledge Discovery for ch...
José A. Cruz-Lemus, Marcela Genero, Jos&eac...
JMLR
2010
121views more  JMLR 2010»
14 years 11 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor