Hierarchical multi-label classification with chained neural networks
作者： Jônatas Wehrmann , Rodrigo C. Barros , Silvia N. das Dôres , Ricardo Cerri
关键词: Computer science 、 Hierarchy (mathematics) 、 Chaining 、 Object (computer science) 、 Artificial neural network 、 Protein function prediction 、 Artificial intelligence 、 Multi-label classification 、 Class (biology) 、 Theoretical computer science 、 Set (abstract data type)
摘要: … Probabilistic clustering for hierarchical multi-label classification of protein functions. In European Conference on Machine Learning (ECML/PKDD 2013), pages 385–400, Berlin, …
acm.org
sci-hub.st 参考文章(20)
Rodrigo C. Barros, Ricardo Cerri, Alex A. Freitas, André C. P. L. F. de Carvalho, Probabilistic clustering for hierarchical multi-label classification of protein functions european conference on machine learning. pp. 385- 400 ,(2013) , 10.1007/978-3-642-40991-2_25
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification international conference on computer vision. pp. 1026- 1034 ,(2015) , 10.1109/ICCV.2015.123
Ricardo Cerri, Rodrigo C Barros, Andre CPLF de Carvalho, None, A genetic algorithm for Hierarchical Multi-Label Classification acm symposium on applied computing. pp. 250- 255 ,(2012) , 10.1145/2245276.2245325
Celine Vens, Jan Struyf, Leander Schietgat, Sašo Džeroski, Hendrik Blockeel, Decision trees for hierarchical multi-label classification Machine Learning. ,vol. 73, pp. 185- 214 ,(2008) , 10.1007/S10994-008-5077-3
Jesse Davis, Mark Goadrich, The relationship between Precision-Recall and ROC curves Proceedings of the 23rd international conference on Machine learning - ICML '06. ,vol. 148, pp. 233- 240 ,(2006) , 10.1145/1143844.1143874
Ricardo Cerri, Rodrigo C Barros, André CPLF de Carvalho, Alex A Freitas, None, A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules congress on evolutionary computation. pp. 454- 461 ,(2013) , 10.1109/CEC.2013.6557604
Leander Schietgat, Celine Vens, Jan Struyf, Hendrik Blockeel, Dragi Kocev, Sašo Džeroski, Predicting gene function using hierarchical multi-label decision tree ensembles BMC Bioinformatics. ,vol. 11, pp. 2- 2 ,(2010) , 10.1186/1471-2105-11-2
Guoxian Yu, Hailong Zhu, Carlotta Domeniconi, Predicting protein functions using incomplete hierarchical labels BMC Bioinformatics. ,vol. 16, pp. 1- 12 ,(2015) , 10.1186/S12859-014-0430-Y
Ilya Sutskever, Geoffrey Hinton, Alex Krizhevsky, Ruslan Salakhutdinov, Nitish Srivastava, Dropout: a simple way to prevent neural networks from overfitting Journal of Machine Learning Research. ,vol. 15, pp. 1929- 1958 ,(2014)
Andrew Mayne, Russell Perry, Hierarchically classifying documents with multiple labels computational intelligence and data mining. pp. 133- 139 ,(2009) , 10.1109/CIDM.2009.4938640