Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Alleviating I/O Inefficiencies to Enable Effective Model Training Over ..."

Daniel Rammer et al. (2018)

> Home

Details and statistics

DOI: 10.1109/BIGDATA.2018.8622279

access: closed

type: Conference or Workshop Paper

metadata version: 2021-03-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bigdataconf/RammerBBPP18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bigdataconf/RammerBBPP18
Daniel Rammer, Walid Budgaga, Thilina Buddhika, Shrideep Pallickara, Sangmi Lee Pallickara:
Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets. IEEE BigData 2018: 468-477

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.