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SIGSOFT
2005
ACM
16 years 6 months ago
Online testing with model programs
Online testing is a technique in which test derivation from a model program and test execution are combined into a single algorithm. We describe a practical online testing algorit...
Margus Veanes, Colin Campbell, Wolfram Schulte, Ni...
ICML
2005
IEEE
16 years 7 months ago
Hierarchical Dirichlet model for document classification
The proliferation of text documents on the web as well as within institutions necessitates their convenient organization to enable efficient retrieval of information. Although tex...
Sriharsha Veeramachaneni, Diego Sona, Paolo Avesan...
163
Voted
CIKM
2005
Springer
15 years 11 months ago
Establishing value mappings using statistical models and user feedback
In this paper, we present a “value mapping” algorithm that does not rely on syntactic similarity or semantic interpretation of the values. The algorithm first constructs a st...
Jaewoo Kang, Tae Sik Han, Dongwon Lee, Prasenjit M...
142
Voted
ACCV
2009
Springer
16 years 23 days ago
Levels of Details for Gaussian Mixture Models
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Vincent Garcia, Frank Nielsen, Richard Nock
AAAI
2006
15 years 7 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...