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» Statistical Debugging Using Latent Topic Models
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AADEBUG
1997
Springer
13 years 11 months ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
13 years 6 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
CVPR
2009
IEEE
13 years 11 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 3 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
13 years 7 months ago
An Empirical Comparison of Four Text Mining Methods
The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...