77 search results - page 11 / 16 » Limits on Learning Machine Accuracy Imposed by Data Quality |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
INTERSPEECH
2010
13 years 3 months ago
2010
One of the difficult problems of acoustic modeling for Automatic Speech Recognition (ASR) is how to adequately model the wide variety of acoustic conditions which may be present i...
CICLING
2007
Springer
14 years 2 months ago
2007
Springer
Although the literature contains reports of very high accuracy figures for the recognition of named entities in text, there are still some named entity phenomena that remain probl...
ECML
2004
Springer
14 years 2 months ago
2004
Springer
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
AIR
2004
13 years 8 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...