Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic ..."

Robespierre Pita et al. (2017)

> Home

Details and statistics

DOI: 10.1007/978-3-319-64283-3_16

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/dawak/PitaMRBD17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/dawak/PitaMRBD17
Robespierre Pita, Everton Mendonça, Sandra Reis, Marcos Barreto, Spiros C. Denaxas:
A Machine Learning Trainable Model to Assess the Accuracy of Probabilistic Record Linkage. DaWaK 2017: 214-227

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.