564 search results - page 99 / 113 » Training Tree Transducers |
AAAI
2000
13 years 10 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
UAI
2003
13 years 10 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
BMVC
1997
13 years 10 months ago
1997
Traditional methods for ATR Automatic Target Recognition use infrared IR sensors for detecting heat emanating fromtargets. IR-based ATR techniques are susceptible to sensor-in...
CIBCB
2009
IEEE
13 years 10 months ago
2009
IEEE
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
ICAISC
2010
Springer
13 years 9 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...