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ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 3 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
DILS
2009
Springer
14 years 3 months ago
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Katherine James, Anil Wipat, Jennifer Hallinan
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 3 months ago
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
This paper presents an interdisciplinary investigation of statistical information retrieval (IR) techniques for protein identification from tandem mass spectra, a challenging probl...
Yiming Yang, Abhay Harpale, Subramaniam Ganapathy
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 2 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
PVLDB
2008
111views more  PVLDB 2008»
13 years 8 months ago
Approximate lineage for probabilistic databases
In probabilistic databases, lineage is fundamental to both query processing and understanding the data. Current systems s.a. Trio or Mystiq use a complete approach in which the li...
Christopher Ré, Dan Suciu