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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 8 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
14 years 25 days 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, ...
CORR
1998
Springer
126views Education» more  CORR 1998»
13 years 7 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
15 years 2 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»
14 years 10 days 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...