60 search results - page 2 / 12 » Text Classification from Labeled and Unlabeled Documents usi... |
AAAI
2004
13 years 6 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...