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» Generic Methods for Optimization-Based Modeling
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DAGM
2008
Springer
13 years 10 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
14 years 10 days 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»
14 years 8 days 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
13 years 10 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
WWW
2005
ACM
14 years 9 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