410 search results - page 32 / 82 » Ensembles of biased classifiers |
KDD
2002
ACM
15 years 11 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
ICPR
2004
IEEE
16 years 7 days ago
2004
IEEE
The Scanning N-Tuple classifier (SNT) is a fast and accurate method for classifying sequences. Applications include both on-line and off-line hand-written character recognition. S...
COLING
2002
14 years 11 months ago
2002
This paper proposes an unsupervised learning model for classifying named entities. This model uses a training set, built automatically by means of a small-scale named entity dicti...
ICML
2006
IEEE
15 years 12 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
KDD
2006
ACM
15 years 11 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...