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» A Framework for Exploring Categorical Data.
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JMLR
2012
13 years 6 days ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
MCS
2009
Springer
15 years 2 months ago
Random Ordinality Ensembles A Novel Ensemble Method for Multi-valued Categorical Data
Abstract. Data with multi-valued categorical attributes can cause major problems for decision trees. The high branching factor can lead to data fragmentation, where decisions have ...
Amir Ahmad, Gavin Brown
IV
2005
IEEE
98views Visualization» more  IV 2005»
15 years 3 months ago
Exploring Highly Structured Data: A Comparative Study of Stardinates and Parallel Coordinates
Comparing different Information Visualization (InfoVis) techniques is a challenging task and a necessary step to reach the users and their tasks. We evaluated the effectiveness in...
Monika Lanzenberger, Silvia Miksch, Margit Pohl
IJON
2008
73views more  IJON 2008»
14 years 9 months ago
Third-order generalization: A new approach to categorizing higher-order generalization
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
Richard Neville
CVPR
2004
IEEE
15 years 1 months ago
Visual Object Categorization Using Distance-Based Discriminant Analysis
This paper formulates the problem of object categorization in the discriminant analysis framework focusing on transforming visual feature data so as to make it conform to the comp...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...