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» Generic Methods for Optimization-Based Modeling
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DAGM
2008
Springer
15 years 3 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
COMPLIFE
2006
Springer
15 years 5 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
ECMDAFA
2006
Springer
137views Hardware» more  ECMDAFA 2006»
15 years 5 months ago
Harvesting Software Systems for MDA-Based Reengineering
Abstract. In this paper we report on a feasibility study in reengineering legacy systems towards a model-driven architecture (MDA). Steps in our approach consist of (1) parsing the...
Thijs Reus, Hans Geers, Arie van Deursen
ACL
2008
15 years 3 months ago
Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
In this work, the problem of extracting phrase translation is formulated as an information retrieval process implemented with a log-linear model aiming for a balanced precision an...
Yonggang Deng, Jia Xu, Yuqing Gao
119
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WWW
2005
ACM
16 years 2 months ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao