Wrapper positive Bayesian network classifiers
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[1] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[2] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[3] Xing-Ming Zhao,et al. Gene function prediction using labeled and unlabeled data , 2008, BMC Bioinformatics.
[4] Charles Elkan,et al. Learning gene regulatory networks from only positive and unlabeled data , 2010, BMC Bioinformatics.
[5] Duoqian Miao,et al. A Rough Set Approach to Classifying Web Page Without Negative Examples , 2007, PAKDD.
[6] Frann Cois Denis,et al. PAC Learning from Positive Statistical Queries , 1998, ALT.
[7] Chris H. Q. Ding,et al. PSoL: a positive sample only learning algorithm for finding non-coding RNA genes , 2006, Bioinform..
[8] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[9] Fábio Gagliardi Cozman,et al. Random Generation of Bayesian Networks , 2002, SBIA.
[10] Xiaoli Li,et al. Learning to Classify Texts Using Positive and Unlabeled Data , 2003, IJCAI.
[11] Robert Castelo,et al. Splice site identification by idlBNs , 2004, ISMB/ECCB.
[12] Igor Kononenko,et al. Semi-Naive Bayesian Classifier , 1991, EWSL.
[13] Michael J. Pazzani,et al. Searching for Dependencies in Bayesian Classifiers , 1995, AISTATS.
[14] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[15] Xue Li,et al. Dynamic classifier ensemble for positive unlabeled text stream classification , 2012, Knowledge and Information Systems.
[16] J. A. Lozano,et al. Prioritization of candidate cancer genes—an aid to oncogenomic studies , 2008, Nucleic acids research.
[17] Pedro Larrañaga,et al. A partially supervised classification approach to dominant and recessive human disease gene prediction , 2007, Comput. Methods Programs Biomed..
[18] Zhoujun Li,et al. Predicting gene function using few positive examples and unlabeled ones , 2010, BMC Genomics.
[19] Hiroya Takamura,et al. Cool Blog Classification from Positive and Unlabeled Examples , 2009, PAKDD.
[20] Rémi Gilleron,et al. Learning from positive and unlabeled examples , 2000, Theor. Comput. Sci..
[21] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[22] José Antonio Lozano,et al. Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[24] Jiawei Han,et al. PEBL: Web page classification without negative examples , 2004, IEEE Transactions on Knowledge and Data Engineering.
[25] Kevin Chen-Chuan Chang,et al. PEBL: positive example based learning for Web page classification using SVM , 2002, KDD.
[26] Borja Calvo Molinos. Positive unlabelled learning with applications in computational biology , 2008 .
[27] Bing Liu,et al. Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression , 2003, ICML.
[28] Philip S. Yu,et al. Building text classifiers using positive and unlabeled examples , 2003, Third IEEE International Conference on Data Mining.
[29] See-Kiong Ng,et al. Negative Training Data Can be Harmful to Text Classification , 2010, EMNLP.
[30] Pedro Larrañaga,et al. Feature subset selection from positive and unlabelled examples , 2009, Pattern Recognit. Lett..
[31] Wen-Lian Hsu,et al. Exploiting likely-positive and unlabeled data to improve the identification of protein-protein interaction articles , 2008, BMC Bioinformatics.
[32] Pedro Larrañaga,et al. Learning Bayesian classifiers from positive and unlabeled examples , 2007, Pattern Recognit. Lett..
[33] Charles Elkan,et al. Learning classifiers from only positive and unlabeled data , 2008, KDD.
[34] Rémi Gilleron,et al. Text Classification from Positive and Unlabeled Examples , 2002 .
[35] Philip S. Yu,et al. Partially Supervised Classification of Text Documents , 2002, ICML.
[36] Louise C. Showe,et al. Learning from positive examples when the negative class is undetermined- microRNA gene identification , 2008, Algorithms for Molecular Biology.
[37] Philip S. Yu. Editorial: State of the Transactions , 2004, IEEE Trans. Knowl. Data Eng..
[38] Mark R. Segal,et al. Biological sequence classification utilizing positive and unlabeled data , 2008, Bioinform..