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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 2 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
IWPC
2003
IEEE
15 years 7 months ago
A Tool For Understanding Multi-Language Program Dependencies
1 : This paper describes a prototype tool that facilitates the process of understanding and managing multi-language program dependencies. More specifically, the software tool main...
Panagiotis K. Linos, Zhi-hong Chen, Seth Berrier, ...
151
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CORR
1998
Springer
126views Education» more  CORR 1998»
15 years 2 months ago
Stable models and an alternative logic programming paradigm
In this paper we reexamine the place and role of stable model semantics in logic programming and contrast it with a least Herbrand model approach to Horn programs. We demonstrate ...
Victor W. Marek, Miroslaw Truszczynski
CVPR
2009
IEEE
16 years 9 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
LION
2010
Springer
209views Optimization» more  LION 2010»
15 years 7 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...