Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

15

KDD
1995
ACM

favoriteEmaildiscussreport

95views Data Mining» more KDD 1995»

Limits on Learning Machine Accuracy Imposed by Data Quality

13 years 8 months ago

Limits on Learning Machine Accuracy Imposed by Data Quality

Download www.aaai.org

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 limiting performance of classifiers imposed by the database. We demonstrate this technique on the task of predicting failure in telecommunication paths.

Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian

Real-time Traffic

Data Mining | KDD 1995 | Performance | Random Errors | Telecommunication Paths |

claim paper

Related Content

» Improving SVM accuracy by training on auxiliary data sources

» A Novel Method for Early Software Quality Prediction Based on Support Vector Machine

» Designing adaptive feedback for improving data entry accuracy

» Authorship Attribution and Verification with Many Authors and Limited Data

» Filtered Gaussian Processes for Learning with Large DataSets

» VizRank Data Visualization Guided by Machine Learning

» Twin Vector Machines for Online Learning on a Budget

» Estimating Attributes Analysis and Extensions of RELIEF

» Improved machine learning method for analysis of gas phase chemistry of peptides

Post Info
More Details (n/a)

Added	26 Aug 2010
Updated	26 Aug 2010
Type	Conference
Year	1995
Where	KDD
Authors	Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang

Comments (0)