3866 search results - page 188 / 774 » Classification of Ordinal Data |
JMLR
2006
13 years 10 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
JMLR
2002
13 years 10 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
PKDD
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Pattern-based classification has demonstrated its power in recent studies, but because the cost of mining discriminative patterns as features in classification is very ex...
ICMCS
2009
IEEE
13 years 8 months ago
2009
IEEE
The human voice is primarily a carrier of speech, but it also contains non-linguistic features unique to a speaker and indicative of various speaker demographics, e.g. gender, nat...
TIT
2010
13 years 5 months ago
2010
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...