PPDsparse-Reference-Cited by-同舟云学术

PPDsparse

Published:2017-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Yen Ian E.H.¹,Huang Xiangru²,Dai Wei³,Ravikumar Pradeep¹,Dhillon Inderjit²,Xing Eric³

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. University of Texas at Austin, Austin, TX, USA

3. Carnegie Mellon University & Petuum Inc., Pittsburgh, PA, USA

Funder

ONR

NSF

ARO

NIH

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3097983.3098083

Reference37 articles.

1. DiSMEC

2. Kush Bhatia Himanshu Jain Purushottam Kar Manik Varma and Prateek Jain. 2015. Sparse local embeddings for extreme multi-label classification. In Advances in Neural Information Processing Systems. 730--738. Kush Bhatia Himanshu Jain Purushottam Kar Manik Varma and Prateek Jain. 2015. Sparse local embeddings for extreme multi-label classification. In Advances in Neural Information Processing Systems. 730--738.

3. Koby C. and Yoram S. 2002. On the algorithmic implementation of multiclass kernel-based vector machines. The Journal of Machine Learning Research (2002). Koby C. and Yoram S. 2002. On the algorithmic implementation of multiclass kernel-based vector machines. The Journal of Machine Learning Research (2002).

4. Efficient one-vs-one kernel ridge regression for speech recognition

5. Y.N. Chen and H.T. Lin. 2012. Feature-aware label space dimension reduction for multi-label classification. In Advances in Neural Information Processing Systems. Y.N. Chen and H.T. Lin. 2012. Feature-aware label space dimension reduction for multi-label classification. In Advances in Neural Information Processing Systems.

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