557 search results - page 5 / 112 » Learning programs from noisy data |
COLING
1990
13 years 11 months ago
1990
This paper describes a new program, correct, which takes words rejected by the Unix spell program, proposes a list of candidate corrections, and sorts them by probability. The pro...
ACL
2009
13 years 7 months ago
2009
We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
ICTAI
2005
IEEE
14 years 3 months ago
2005
IEEE
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
IQ
2007
13 years 11 months ago
2007
: We introduce an end-to-end framework for data quality that integrates business strategy, data quality models, and supporting investigative and governance processes. We also descr...
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...