77 search results - page 1 / 16 » Limits on Learning Machine Accuracy Imposed by Data Quality |
KDD
1995
ACM
13 years 8 months ago
1995
ACM
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
ISSRE
2005
IEEE
13 years 10 months ago
2005
IEEE
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
UIST
2010
ACM
13 years 2 months ago
2010
ACM
Data quality is critical for many information-intensive applications. One of the best opportunities to improve data quality is during entry. USHER provides a theoretical, data-dri...
COLING
2008
13 years 6 months ago
2008
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...