275 search results - page 34 / 55 » The Foundations of Cost-Sensitive Learning |
JMLR
2010
13 years 2 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
SYNTHESE
2010
13 years 2 months ago
2010
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
By its very nature DSP is a mathematically heavy topic and to fully understand it students need to understand the mathematical developments underlying DSP topics. However, relying...
SIGIR
1997
ACM
13 years 11 months ago
1997
ACM
Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit this property of word usage to improve document routing. W...
PRIB
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...