281 search results - page 20 / 57 » Group-based learning: a boosting approach |
76
Voted
EMNLP
2009
14 years 7 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
79
Voted
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
AAAI
2011
13 years 9 months ago
2011
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
106
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ISVC
2007
Springer
15 years 3 months ago
2007
Springer
We present a novel boosting algorithm where temporal consistency is addressed in a short-term way. Although temporal correlation of observed data may be an important cue for classi...