209 search results - page 27 / 42 » Analyzing the Errors of Unsupervised Learning |
72
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
For two-class classification, it is common to classify by setting a threshold on class probability estimates, where the threshold is determined by ROC curve analysis. An analog fo...
SP
2002
IEEE
14 years 9 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
TEC
2010
14 years 4 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...
DAS
2008
Springer
14 years 11 months ago
2008
Springer
We describe experimental results for unsupervised recognition of the textual contents of book-images using fully automatic mutual-entropy-based model adaptation. Each experiment s...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...