Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-label Classification
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[1] Sunita Sarawagi,et al. Discriminative Methods for Multi-labeled Classification , 2004, PAKDD.
[2] Linda C. van der Gaag,et al. Multi-dimensional Bayesian Network Classifiers , 2006, Probabilistic Graphical Models.
[3] Judea Pearl,et al. Chapter 2 – BAYESIAN INFERENCE , 1988 .
[4] Concha Bielza,et al. Discrete Bayesian Network Classifiers , 2014, ACM Comput. Surv..
[5] Marvin Minsky,et al. Steps toward Artificial Intelligence , 1995, Proceedings of the IRE.
[6] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[7] Peter A. Flach,et al. Evaluation Measures for Multi-class Subgroup Discovery , 2009, ECML/PKDD.
[8] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[9] Eamonn J. Keogh,et al. Learning the Structure of Augmented Bayesian Classifiers , 2002, Int. J. Artif. Intell. Tools.
[10] Geoff Holmes,et al. Classifier Chains for Multi-label Classification , 2009, ECML/PKDD.
[11] Geoff Holmes,et al. Classifier chains for multi-label classification , 2009, Machine Learning.
[12] Concha Bielza,et al. Decision boundary for discrete Bayesian network classifiers , 2015, J. Mach. Learn. Res..
[13] Linda C. van der Gaag,et al. Inference and Learning in Multi-dimensional Bayesian Network Classifiers , 2007, ECSQARU.
[14] Concha Bielza,et al. Multi-label classification with Bayesian network-based chain classifiers , 2014, Pattern Recognit. Lett..
[15] Roy Kelner,et al. Learning Bayesian network classifiers by risk minimization , 2012, Int. J. Approx. Reason..
[16] Michael Clarke,et al. Symbolic and Quantitative Approaches to Reasoning and Uncertainty , 1991, Lecture Notes in Computer Science.
[17] Nir Friedman,et al. Bayesian Network Classifiers , 1997, Machine Learning.
[18] Mark A. Peot,et al. Geometric Implications of the Naive Bayes Assumption , 1996, UAI.
[19] Concha Bielza,et al. Multi-dimensional classification with Bayesian networks , 2011, Int. J. Approx. Reason..
[20] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[21] Concha Bielza,et al. Multi-Dimensional Classification with Super-Classes , 2014, IEEE Transactions on Knowledge and Data Engineering.
[22] Min-Ling Zhang,et al. A Review on Multi-Label Learning Algorithms , 2014, IEEE Transactions on Knowledge and Data Engineering.