334 search results - page 40 / 67 » The Alternating Decision Tree Learning Algorithm |
124
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NAACL
2010
14 years 7 months ago
2010
We present a novel deterministic dependency parsing algorithm that attempts to create the easiest arcs in the dependency structure first in a non-directional manner. Traditional d...
DIS
2006
Springer
15 years 1 months ago
2006
Springer
Incremental learning is an approach to deal with the classification task when datasets are too large or when new examples can arrive at any time. One possible approach uses concent...
KDD
2010
ACM
15 years 1 months ago
2010
ACM
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
108
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CANDC
2005
ACM
14 years 9 months ago
2005
ACM
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification ...
87
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JMLR
2010
14 years 4 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...