DiSMEC – Distributed Sparse Machines for Extreme Multi-label Classification

Babbar, Rohit; Schölkopf, Bernhard

doi:10.1145/3018661.3018741

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

DiSMEC – Distributed Sparse Machines for Extreme Multi-label Classification

MPS-Authors

/persons/resource/persons145146

Babbar, Rohit
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf, Bernhard
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Babbar, R., & Schölkopf, B. (2017). DiSMEC – Distributed Sparse Machines for Extreme Multi-label Classification. In WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (pp. 721-729). New York, NY: ACM. doi:10.1145/3018661.3018741.

Cite as: https://hdl.handle.net/21.11116/0000-000A-9E43-9

Abstract

There is no abstract available