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» Graphical models for data mining
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140
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AUSDM
2008
Springer
243views Data Mining» more  AUSDM 2008»
15 years 4 months ago
Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification
Term signal is an existing text representation that depicts a term as a vector of frequencies of occurrences in a number of user-defined partitions of a document. Although term si...
Supphachai Thaicharoen, Tom Altman, Krzysztof J. C...
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 9 days ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
15 years 9 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
157
Voted
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 5 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
127
Voted
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 8 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...