190 search results - page 4 / 38 » Exploiting multiple classifier types with active learning |
MIR
2005
ACM
14 years 8 days ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
We present an algorithm for active learning (adaptive selection of training data) within the context of semi-supervised multi-task classifier design. The semi-supervised multi-ta...
JAIR
2006
13 years 6 months ago
2006
Active learners alleviate the burden of labeling large amounts of data by detecting and asking the user to label only the most informative examples in the domain. We focus here on...
ML
2000
ACM
13 years 6 months ago
2000
ACM
We present an approach to inductive concept learning using multiple models for time series. Our objective is to improve the efficiency and accuracy of concept learning by decomposi...
AUSAI
2006
Springer
13 years 10 months ago
2006
Springer
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...