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» Selection of Generative Models in Classification
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PR
2008
104views more  PR 2008»
14 years 9 months ago
Generative models for similarity-based classification
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
Luca Cazzanti, Maya R. Gupta, Anjali J. Koppal
ICDM
2008
IEEE
104views Data Mining» more  ICDM 2008»
15 years 4 months ago
A Generative Probabilistic Model for Multi-label Classification
Hongning Wang, Minlie Huang, Xiaoyan Zhu
SIAMMAX
2010
145views more  SIAMMAX 2010»
14 years 4 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
TREC
2004
14 years 11 months ago
Feature Generation, Feature Selection, Classifiers, and Conceptual Drift for Biomedical Document Triage
We approached the problem of classifying papers for the TREC 2004 Genomics Track triage task as a four step process: feature generation, feature selection, classifier training, an...
Aaron M. Cohen, Ravi Teja Bhupatiraju, William R. ...
CSDA
2004
81views more  CSDA 2004»
14 years 9 months ago
A note on split selection bias in classification trees
A common approach to split selection in classification trees is to search through all possible splits generated by predictor variables. A splitting criterion is then used to evalu...
Y.-S. Shih