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KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 2 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
IV
2009
IEEE
124views Visualization» more  IV 2009»
14 years 2 months ago
An Occlusion-Reduced 3D Hierarchical Data Visualization Technique
Occlusion is an important problem to be solved for readability improvement of 3D visualization techniques. This paper presents an occlusion reduction technique for cityscape-style...
Reiko Miyazaki, Takayuki Itoh
DSD
2007
IEEE
83views Hardware» more  DSD 2007»
14 years 2 months ago
Hierarchical Identification of Untestable Faults in Sequential Circuits
Similar to sequential test pattern generation, the problem of identifying untestable faults in sequential circuits remains unsolved. Most of the previous works in untestability id...
Jaan Raik, Raimund Ubar, Anna Krivenko, Margus Kru...
COGSCI
2008
75views more  COGSCI 2008»
13 years 6 months ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...