209 search results - page 1 / 42 » Analyzing the Errors of Unsupervised Learning |
ACL
2008
13 years 6 months ago
2008
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
JMLR
2010
12 years 11 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
ACL
2006
13 years 6 months ago
2006
We study a number of natural language decipherment problems using unsupervised learning. These include letter substitution ciphers, character code conversion, phonetic deciphermen...