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KDD
2002
ACM
169views Data Mining» more  KDD 2002»
16 years 4 months ago
Optimizing search engines using clickthrough data
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
Thorsten Joachims
KDD
2009
ACM
142views Data Mining» more  KDD 2009»
16 years 4 months ago
Quantification and semi-supervised classification methods for handling changes in class distribution
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
Jack Chongjie Xue, Gary M. Weiss
130
Voted
ECML
2005
Springer
15 years 9 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont
PAKDD
2000
ACM
100views Data Mining» more  PAKDD 2000»
15 years 7 months ago
Discovery of Relevant Weights by Minimizing Cross-Validation Error
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Kazumi Saito, Ryohei Nakano
ACL
2008
15 years 5 months ago
A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation
In this paper, we propose a linguistically annotated reordering model for BTG-based statistical machine translation. The model incorporates linguistic knowledge to predict orders ...
Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li