Angle-Based Hierarchical Classification Using Exact Label Embedding

Hierarchical classification problems are commonly seen in practice. However, most existing methods do not fully use the hierarchical information among class labels. In this article, a novel label e...

[1]  Justus H. Piater,et al.  Can computer vision problems benefit from structured hierarchical classification? , 2015, Machine Vision and Applications.

[2]  Yichao Wu,et al.  Nonlinear vertex discriminant analysis with reproducing kernels , 2012, Stat. Anal. Data Min..

[3]  Christopher DeCoro,et al.  Bayesian Aggregation for Hierarchical Genre Classification , 2007, ISMIR.

[4]  Ioannis Partalas,et al.  Learning Taxonomy Adaptation in Large-scale Classification , 2016, J. Mach. Learn. Res..

[5]  Daphne Koller,et al.  Hierarchically Classifying Documents Using Very Few Words , 1997, ICML.

[6]  Runze Li,et al.  Feature Screening via Distance Correlation Learning , 2012, Journal of the American Statistical Association.

[7]  Jianfu Chen,et al.  Cost-sensitive learning for large-scale hierarchical classification , 2013, CIKM.

[8]  Alex A. Freitas,et al.  A survey of hierarchical classification across different application domains , 2010, Data Mining and Knowledge Discovery.

[9]  Kilian Q. Weinberger,et al.  Large Margin Taxonomy Embedding for Document Categorization , 2008, NIPS.

[10]  Claudio Gentile,et al.  Hierarchical classification: combining Bayes with SVM , 2006, ICML.

[11]  Hao Helen Zhang,et al.  Hard or Soft Classification? Large-Margin Unified Machines , 2011, Journal of the American Statistical Association.

[12]  Xiaotong Shen,et al.  On Large Margin Hierarchical Classification With Multiple Paths , 2009, Journal of the American Statistical Association.

[13]  Boris Hayete,et al.  GOTrees: Predicting GO Associations from Protein Domain Composition Using Decision Trees , 2004, Pacific Symposium on Biocomputing.

[14]  Yufeng Liu,et al.  Multicategory angle-based large-margin classification. , 2014, Biometrika.

[15]  Yiming Yang,et al.  Recursive regularization for large-scale classification with hierarchical and graphical dependencies , 2013, KDD.

[16]  Yufeng Liu,et al.  Adaptively Weighted Large Margin Classifiers , 2013, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

[17]  K. Lange,et al.  An MM Algorithm for Multicategory Vertex Discriminant Analysis , 2008 .

[18]  Lifeng Wang,et al.  Generalization error for multi-class margin classification , 2007, 0708.3556.

[19]  Claudio Gentile,et al.  Regret Bounds for Hierarchical Classification with Linear-Threshold Functions , 2004, COLT.

[20]  Thomas Hofmann,et al.  Hierarchical document categorization with support vector machines , 2004, CIKM '04.

[21]  Huzefa Rangwala,et al.  HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning , 2015, ECML/PKDD.

[22]  Alex Alves Freitas,et al.  Novel top-down approaches for hierarchical classification and their application to automatic music genre classification , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[23]  Cordelia Schmid,et al.  Label-Embedding for Image Classification , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Alex Alves Freitas,et al.  On the hierarchical classification of G protein-coupled receptors , 2007, Bioinform..

[25]  Michael I. Jordan,et al.  Convexity, Classification, and Risk Bounds , 2006 .

[26]  K. Lange,et al.  Multicategory vertex discriminant analysis for high-dimensional data , 2010, 1101.0952.

[27]  Saso Dzeroski,et al.  Decision trees for hierarchical multi-label classification , 2008, Machine Learning.

[28]  Stan Matwin,et al.  Functional Annotation of Genes Using Hierarchical Text Categorization , 2005 .

[29]  Thomas Hofmann,et al.  Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..

[30]  Ioannis Partalas,et al.  On Flat versus Hierarchical Classification in Large-Scale Taxonomies , 2013, NIPS.

[31]  Bernt Schiele,et al.  Evaluation of output embeddings for fine-grained image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[32]  Georgios Paliouras,et al.  Evaluation measures for hierarchical classification: a unified view and novel approaches , 2013, Data Mining and Knowledge Discovery.

[33]  Yiming Yang,et al.  RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..

[34]  Wei Pan,et al.  Large Margin Hierarchical Classification with Mutually Exclusive Class Membership , 2011, J. Mach. Learn. Res..

[35]  Yoram Singer,et al.  Large margin hierarchical classification , 2004, ICML.

[36]  Yuan-Hai Shao,et al.  Weighted linear loss twin support vector machine for large-scale classification , 2015, Knowl. Based Syst..

[37]  Jayme G. A. Barbedo,et al.  Automatic Genre Classification of Musical Signals , 2007, EURASIP J. Adv. Signal Process..

[38]  Jianping Fan,et al.  Cost-sensitive learning of hierarchical tree classifiers for large-scale image classification and novel category detection , 2015, Pattern Recognit..

[39]  Jason Weston,et al.  Label Embedding Trees for Large Multi-Class Tasks , 2010, NIPS.

[40]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[41]  François Chollet Information-theoretical label embeddings for large-scale image classification , 2016, ArXiv.