111 search results - page 1 / 23 » A Bi-clustering Framework for Categorical Data |
ACL
2009
13 years 2 months ago
2009
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
IPMU
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Nonparametric predictive inference (NPI) is a powerful frequentist statistical framework based only on an exchangeability assumption for future and past observations, mad...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
JMLR
2012
11 years 7 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
IJON
2008
13 years 4 months ago
2008
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...